Relevant bibliographies by topics / Statistical and analytical support

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  2. Dissertations / Theses
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Academic literature on the topic 'Statistical and analytical support'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Statistical and analytical support"

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Khyzhniakova, Nadiia. "Statistical and analytical support of ecologically oriented decisions making in the territorial context." Economics: time realities 6, no. 58 (2021): 80–85. http://dx.doi.org/10.15276/etr.06.2021.10.

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The meaning of eco-oriented decisions and their importance for the ecological security level increase and for the territorial sustainable development support are discovered. Spatial aspects of eco-oriented decisions making and their influence on the territorial development are reflected. The essence of statistical and analytical support of eco-oriented decisions making and its role on the territorial level are determined. The conceptual model for ecooriented decisions making statistical and analytical support use in spatial context is constructed. The statistical index system offer to use for the territorial development analysis is formed. The quality requirements for statistical index system and for eco-oriented decisions making statistical and analytical support at whole are formulated.
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Nadiia, O. Khyzhniakova. "Statistical and analytical support of ecologically oriented decisions making in the territorial context." Economics: time realities 6, no. 58 (2021): 80–85. https://doi.org/10.5281/zenodo.6703578.

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The meaning of eco-oriented decisions and their importance for the ecological security level increase and for the territorial sustainable development support are discovered. Spatial aspects of eco-oriented decisions making and their influence on the territorial development are reflected. The essence of statistical and analytical support of eco-oriented decisions making and its role on the territorial level are determined. The conceptual model for eco-oriented decisions making statistical and analytical support use in spatial context is constructed. The statistical index system offer to use for the territorial development analysis is formed. The quality requirements for statistical index system and for eco-oriented decisions making statistical and analytical support at whole are formulated.
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TSISHCHYK, Roman. "STATISTICAL AND ANALYTICAL SUPPORT OF THE PERSONNEL MANAGEMENT SYSTEM OF ENTERPRISES AND ORGANIZATIONS." Regional’ni aspekti rozvitku produktivnih sil Ukraїni, no. 29 (2024): 112–20. https://doi.org/10.35774/rarrpsu2024.29.112.

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ABSTRACT Introduction. Effective personnel management is a key factor in the competitiveness of enterprises and organizations, as it affects their productivity, innovative development and adaptability to market changes. The use of statistical and analytical support in the personnel management system allows for making informed management decisions, increasing the efficiency of personnel work and optimizing personnel policy. However, many enterprises and organizations face difficulties in implementing such methods due to insufficient automation of data collection processes, limited analytical tools and the lack of a single methodological base. Research purpose and methods. The purpose of the article is to determine the essence and place of statistics and analytics in the management system of enterprises and organizations, to substantiate the theoretical and methodological principles of using statistical and analytical tools and systems to optimize personnel processes and to develop practical recommendations for improving the statistical and analytical support of personnel management. The study uses general scientific and special methods, in particular analysis and synthesis, scientific abstraction, system analysis, comparative analysis, generalization, as well as methods of synthesis, induction and deduction for a comprehensive assessment of the statistical and analytical support of personnel management and the formulation of recommendations for its improvement. Results. The article considers the concept of personnel management and its role in the general management system of enterprises and organizations. The focus is on the growing role of statistical and analytical support of personnel management, its feasibility is substantiated and the importance of using HR statistics and analytics to increase the efficiency of enterprises and organizations. The role and main directions of application of statistical and analytical tools in personnel management are defined and detailed. The main problems that arise when integrating statistics and analytics into the personnel management system are identified and characterized. The directions for improving the personnel management process based on modern statistical and analytical methods are substantiated. Conclusions. The implementation of statistical and analytical support allows to significantly improve the efficiency of personnel management due to objective monitoring of personnel processes, increasing the accuracy of forecasting changes in the personnel structure and optimizing the decision-making process. For the successful integration of analytical methods into the personnel policy of enterprises and organizations, it is necessary to automate the collection and analysis of statistical data, train specialists with appropriate competencies and develop methodological foundations for the effective use of HR analytics. Keywords: personnel management, HR manager, statistics, analytics, statistical analysis, statistical data, HR analytics, personnel statistics.
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SOLOMCHUK, L.M. "Statistical support of enterprise management." Market Relations Development in Ukraine №7-8(254-255)2022 152 (November 15, 2022): 113–19. https://doi.org/10.5281/zenodo.7323395.

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Relevance of the research topic. As a distinctive feature of the modern period of economic development, we can note a significant increase in the number of business entities that are forced to make management decisions on a statistical basis. The influence of external factors is increasing, and the consequences of erroneous management decisions are increasing. The new operating conditions of enterprises and industries make the use of statistical technologies in enterprise management relevant. The need for statistical information at all levels from the government to homemakers is growing like an avalanche, thus the need for statistical research is also growing. Statistics is one of the tools of effective management of the enterprise, which uses statistical materials of the State Statistics Service of Ukraine, the results of special surveys, and various analytical developments. At the same time, the attitude towards statistics in society is ambiguous. оптиIn different historical periods, the attitude towards statistics changed. The study showed that domestic statistics is developing in conditions of low statistical literacy of management personnel, a certain mistrust to official statistics, misunderstanding of the importance of state statistical operations, etc. On the other hand, in the conditions of making urgent decisions in crisis situations, statistical data are often ignored. This allows some managers to conclude that statistics is unnecessary. Meanwhile, the results of statistical studies and forecasts, which are based on modern methodological approaches and meet the requirements of international statistical standards, allow to predict the emergence of crisis situations and make effective management decisions in advance. Statistical support of management is a guarantee of high quality and professional management of any enterprise, an indicator that the manager possesses relevant information. Any new initiative is primarily based on an assessment of existing facts and the state of affairs in various sectors of the economy. The purpose of the study is to determine the role of statistical support in modern enterprise management. Research methods. The research used the method of statistical observation, generalization, grouping, comparison, the method of analogy, the method of induction and deduction. Research results. The article reveals the essence and importance of statistical management support for making effective management decisions. Field of application of results. In the practical activities of enterprises of any form of ownership and in the field of economic sciences. Conclusions according to the article. The essence and importance of statistical information as a tool in management for making optimal and rational management decisions is studied.
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Cuentas, Sandra, Rita Peñabaena-Niebles, and Ethel Garcia. "Support vector machine in statistical process monitoring: a methodological and analytical review." International Journal of Advanced Manufacturing Technology 91, no. 1-4 (2016): 485–500. http://dx.doi.org/10.1007/s00170-016-9693-y.

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Belova, Iryna, and Iryna Mushenyk. "INFORMATION AND ANALYTICAL SUPPORT OF LOGISTICS MARKET RESEARCH." Institute of accounting, control and analysis in the globalization circumstances, no. 1-2 (June 4, 2021): 7–23. http://dx.doi.org/10.35774/ibo2021.01-02.007.

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Introduction. Logistics as a type of economic activity plays one of the main roles in the formation and development of market relations, so its study is especially relevant in a market economy. Information resources are one of the most important subsystems of the resource potential of the firm, and information is a key element of logistics operations. The information specifies the needs of the objects of logistics systems and supply chain links. The article investigates that logistics is one of the important components of the state economy and now this component is at the stage of its formation and requires a scientific approach to study; the place of the information and analytical center as an infrastructural component of logistics systems is determined; the information and analytical support of the market research of logistics services is substantiated and the system of statistical indicators of the research of this market is formed. It is determined that the prospects for the development of the logistics services market in Ukraine directly depend on the state of the country's economy. Methods. The following scientific methods were used in the research process: inductions and deductions - in the process of studying the general tendencies of logistics development in Ukraine; analysis and synthesis - during the theoretical generalizations, the formation of appropriate conclusions; bibliographic - research of literary sources to obtain the necessary information on the research topic; method of associations and analogies - for the proposed new ideas and suggestions that arise from comparison with other more or less similar objects. Results. Logistics in Ukraine is developing in accordance with world trends, has a significant impact on the economic potential of the country, stimulates the development of related, interconnected and complementary industries, is a reflection of the competitiveness of our country in the world. Logistics efficiency is now at the forefront of the agenda for professionals, private firms, and international organizations. Thus, the logistics of information flow is relevant in the field of logistics. Information resources are one of the most important subsystems of the resource potential of the firm, and information is a key element of logistics operations. The current level of logistics development requires constant improvement and introduction of new information systems. Discussion. The main task set during the writing of the article is to substantiate the feasibility of using logistics services in Ukraine, taking into account the peculiarities of business globalization. Keywords: logistics, segment, logistics market, data sources, information and analytical support, logistics services market, statistical indicator.
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Iershova, Natalia. "ACCOUNTING AND ANALYTICAL SUPPORT OF THE MARKETING ACTIVITY OF THE ENTERPRISE." Energy saving. Power engineering. Energy audit., no. 7-8(173-174) (February 21, 2023): 3–11. http://dx.doi.org/10.20998/2313-8890.2022.07.01.

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In the article, the theoretical and practical aspects of accounting and analytical support for the marketing activities of an enterprise are considered. The significance of marketing activities for business entities is proved on the basis of statistical analysis. The author's opinion on the place and role of accounting and analytical support in the system of managing the marketing activities of an enterprise is presented. The functions of accounting and analytical support for the marketing activities of the enterprise are summarized. The author's idea of the system of accounting and analytical support for the marketing activities of the enterprise is formulated. The main tasks of an accountant for the proper organization of analytical work are formulated.
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YATSYNA, Yulia Oleksandrivna. "INNOVATIVE ANALYTICAL AND STATISTICAL TECHNOLOGIES AS A TOOL FOR MONITORING AND COUNTERACTING CORRUPTION." Epistemological Studies in Philosophy Social and Political Sciences 6, no. 1 (2023): 145–56. http://dx.doi.org/10.15421/342319.

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The article focuses on exploring the directions for implementing innovative analytical-statistical technologies as a tool for monitoring and detecting corruption in the state. To achieve this goal, the author clarifies the content of key concepts, defines the essence of innovative analytical-statistical technologies, and analyzes the applications of these technologies as elements of the state’s anti-corruption policy. It is determined that modern analytical-statistical technologies are integral to information technologies, which have emerged as a separate branch of production known as the information industry. Information technologies, including analytical-statistical ones, are realized through information systems, which combine technical tools (computers, communication devices and channels, peripherals, input/output devices, etc.) with software applications that facilitate the functioning of the technical components and analytical aspects, including the mathematical component (statistics). The use of analytical-statistical technologies as a tool to counter corruption at the state level is driven by the specificity of the corruption identification process. The application of relevant technologies is possible when perceiving corruption as a form of fraud. Therefore, the search for corruption in modern society requires a comprehensive approach, utilizing mathematical, analytical, and psychophysical research methods. This approach enables not only the identification but also the prediction of probable instances of abuse. Five directions for implementing innovative analytical-statistical technologies in anti-corruption activities are identified: 1) automation of data collection and processing; 2) automation of communication and office processes; 3) automation of direct management processes; 4) automation of decision-making processes and development; 5) development of expert systems. It is noted that analytical-statistical technologies find the most implementation in four of the identified directions: data collection/processing, direct management, decision support, and expert support.
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HRYNCHAK, N. "Studies of the Logistics Services Market: Information and Analytical Support and a System of Statistical Indicators." Scientific Bulletin of the National Academy of Statistics, Accounting and Audit, no. 3 (December 22, 2020): 5–11. http://dx.doi.org/10.31767/nasoa.3-2020.01.

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Information and analytical database for the market support is required to prevent communications of contradictory information to higher levels of management, with adverse effects for the process of taking rational management decisions. The article’s objective is to substantiate the information and analytical support for studies of the logistics services market, with constructing a system of statistical indicators for this market assessment, to be laid as the solid basis for elaborating medium-term and long-term strategies and policies of the logistics services market in Ukraine. 
 A definition of information and analytical support for studies of the logistics services market is given; a review of secondary sources of data for this market studies is made. A conceptual model for information and analytical studies of the logistics services market is proposed. The key statistical indicators for studies of this market are identified, with substantiating the feasibility of their use in computing multivariate indicators for the assessment of performance and capacities of the logistics services market in Ukraine. The core criteria to be met by the abovementioned system of statistical indicators are highlighted. A system of statistical indicators for the assessment of the logistics services market is proposed, containing four modules. It allows for diagnosis of this market performance and tendencies, with accounting for the impact of other related markets and activities, and for forecasting. This system, constructed with consideration to the global practice, is designed for comprehensive studies of the logistics services market.
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Матросова, Lidiya Matrosova, Семенов, and Evgeniy Semenov. "Prediction of road safety indicators based on statistical analysis." Central Russian Journal of Social Sciences 11, no. 3 (2016): 55–60. http://dx.doi.org/10.12737/20384.

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The article examines the problems of organization of the comprehensive statistical analysis using automated information systems for processing information of traffic accidents. To solve the problems the Multiparameter information-analytical system (MIAS) of monitoring, analysis and prediction of the situation in the field of road safety was developed. The system allows to estimate thresholds of situation indicators in the field of road safety as a subject of operational and annual information by using methods of statistical analysis. It is used as an information-analytical support of making decisions in the traffic police departments.
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Dissertations / Theses on the topic "Statistical and analytical support"

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Kamleu, Germaine. "An analytical model for assessing the knowledge of statistical procedures amongst postgraduate students in a higher educational environment." University of the Western Cape, 2019. http://hdl.handle.net/11394/6769.

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Philosophiae Doctor - PhD<br>Over the past decades, the use and application of statistical concepts for university students have been a big challenge learned from their previous courses. Aftermath of democracy, South African higher education focused on redressing issues of reparation and social imbalances inherited from Apartheid with the commitment to reconstruct a comprehensive educational quality framework. Growing activities lead to new models emphasised to support students and universities in their attempts to demonstrate evidence of enthusiastic statistics learning, with an acceptable degree of accuracy. This study combines quantitative and qualitative research approaches to assess the knowledge of postgraduate students in applying suitable statistical procedures in higher education (HE). The quantitative data were randomly collected from the postgraduate students (n1=307) while the qualitative data were collected through semi-structured interviews (n2=19) from two institutions (University of Cape Town [UCT] and University of the Western Cape [UWC]) in the Western Cape, South Africa. The SPSS V24 statistical package was used for quantitative data analysis and the explorative design was selected as a theoretical framework to guide the investigation, analysis and interpretation of the qualitative findings. UCT model achieved for all combined categories 73% high prediction accuracy. The UWC model revealed similar results, with ask for help, worth of statistics, fear of statistics monitors, affect, cognitive competence, support from significant others, marital status, ethnic groups and type of study as significant predictors with a high prediction accuracy of 75.49%. Additionally, the ethnic groups, marital status, postgraduate programmes, experiences in statistics and effort were significant contributed factors of SELS beliefs while findings of the combined data of UCT and UWC significantly explained the variation observed in SELS beliefs with only 60% model accuracy. Nevertheless, the qualitative data outcomes indicated that the comments of the participants provided a rich understanding of the perceived failure to choose a relevant statistical test. The results further indicated that confusion and frustration characterised the attitude of students during the selection of a suitable statistical test. The original value of this current study is bridging the inequity gap, in terms of statistics learning, and building a substantial input to the achievement of the objectives of UNESCO, the World Education Forum and the White Paper 3, while ultimately, contributing to the sustainable development of learning statistics at universities in the Western Cape, South Africa. By logical extrapolation, this current study proffers significant insights to the rest of the universities in Africa, and beyond.
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Patel, Zubair. "A decision support system for sugarcane irrigation supply and demand management." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/24455.

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Commercial sugarcane farming requires large quantities of water to be delivered to the fields. Ideal irrigation schedules are produced indicating how much water to be supplied to fields considering multiple objectives in the farming process. Software packages do not fully account for the fact that the ideal irrigation schedule may not be met due to limitations in the water distribution network. This dissertation proposes the use of mathematical modelling to better understand water supply and demand management on a commercial sugarcane farm. Due to the complex nature of water stress on sugarcane, non-linearities occur in the model. A piecewise linear approximation is used to handle the non-linearity in the water allocation model and is solved in a commercial optimisation software package. A test data set is first used to exercise and evaluate the model performance, then to illustrate the practical applicability of the model, a commercial sized data set is used and analysed.
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Uys, J. W. "A framework for exploiting electronic documentation in support of innovation processes." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/1449.

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Thesis (PhD (Industrial Engineering))--University of Stellenbosch, 2010.<br>ENGLISH ABSTRACT: The crucial role of innovation in creating sustainable competitive advantage is widely recognised in industry today. Likewise, the importance of having the required information accessible to the right employees at the right time is well-appreciated. More specifically, the dependency of effective, efficient innovation processes on the availability of information has been pointed out in literature. A great challenge is countering the effects of the information overload phenomenon in organisations in order for employees to find the information appropriate to their needs without having to wade through excessively large quantities of information to do so. The initial stages of the innovation process, which are characterised by free association, semi-formal activities, conceptualisation, and experimentation, have already been identified as a key focus area for improving the effectiveness of the entire innovation process. The dependency on information during these early stages of the innovation process is especially high. Any organisation requires a strategy for innovation, a number of well-defined, implemented processes and measures to be able to innovate in an effective and efficient manner and to drive its innovation endeavours. In addition, the organisation requires certain enablers to support its innovation efforts which include certain core competencies, technologies and knowledge. Most importantly for this research, enablers are required to more effectively manage and utilise innovation-related information. Information residing inside and outside the boundaries of the organisation is required to feed the innovation process. The specific sources of such information are numerous. Such information may further be structured or unstructured in nature. However, an ever-increasing ratio of available innovation-related information is of the unstructured type. Examples include the textual content of reports, books, e-mail messages and web pages. This research explores the innovation landscape and typical sources of innovation-related information. In addition, it explores the landscape of text analytical approaches and techniques in search of ways to more effectively and efficiently deal with unstructured, textual information. A framework that can be used to provide a unified, dynamic view of an organisation‟s innovation-related information, both structured and unstructured, is presented. Once implemented, this framework will constitute an innovation-focused knowledge base that will organise and make accessible such innovation-related information to the stakeholders of the innovation process. Two novel, complementary text analytical techniques, Latent Dirichlet Allocation and the Concept-Topic Model, were identified for application with the framework. The potential value of these techniques as part of the information systems that would embody the framework is illustrated. The resulting knowledge base would cause a quantum leap in the accessibility of information and may significantly improve the way innovation is done and managed in the target organisation.<br>AFRIKAANSE OPSOMMING: Die belangrikheid van innovasie vir die daarstel van „n volhoubare mededingende voordeel word tans wyd erken in baie sektore van die bedryf. Ook die belangrikheid van die toeganklikmaking van relevante inligting aan werknemers op die geskikte tyd, word vandag terdeë besef. Die afhanklikheid van effektiewe, doeltreffende innovasieprosesse op die beskikbaarheid van inligting word deurlopend beklemtoon in die navorsingsliteratuur. „n Groot uitdaging tans is om die oorsake en impak van die inligtingsoorvloedverskynsel in ondernemings te bestry ten einde werknemers in staat te stel om inligting te vind wat voldoen aan hul behoeftes sonder om in die proses deur oormatige groot hoeveelhede inligting te sif. Die aanvanklike stappe van die innovasieproses, gekenmerk deur vrye assosiasie, semi-formele aktiwiteite, konseptualisering en eksperimentasie, is reeds geïdentifiseer as sleutelareas vir die verbetering van die effektiwiteit van die innovasieproses in sy geheel. Die afhanklikheid van hierdie deel van die innovasieproses op inligting is besonder hoog. Om op „n doeltreffende en optimale wyse te innoveer, benodig elke onderneming „n strategie vir innovasie sowel as „n aantal goed gedefinieerde, ontplooide prosesse en metingskriteria om die innovasieaktiwiteite van die onderneming te dryf. Bykomend benodig ondernemings sekere innovasie-ondersteuningsmeganismes wat bepaalde sleutelaanlegde, -tegnologiëe en kennis insluit. Kern tot hierdie navorsing, benodig organisasies ook ondersteuningsmeganismes om hul in staat te stel om meer doeltreffend innovasie-verwante inligting te bestuur en te gebruik. Inligting, gehuisves beide binne en buite die grense van die onderneming, word benodig om die innovasieproses te voer. Die bronne van sulke inligting is veeltallig en hierdie inligting mag gestruktureerd of ongestruktureerd van aard wees. „n Toenemende persentasie van innovasieverwante inligting is egter van die ongestruktureerde tipe, byvoorbeeld die inligting vervat in die tekstuele inhoud van verslae, boeke, e-posboodskappe en webbladsye. In hierdie navorsing word die innovasielandskap asook tipiese bronne van innovasie-verwante inligting verken. Verder word die landskap van teksanalitiese benaderings en -tegnieke ondersoek ten einde maniere te vind om meer doeltreffend en optimaal met ongestruktureerde, tekstuele inligting om te gaan. „n Raamwerk wat aangewend kan word om „n verenigde, dinamiese voorstelling van „n onderneming se innovasieverwante inligting, beide gestruktureerd en ongestruktureerd, te skep word voorgestel. Na afloop van implementasie sal hierdie raamwerk die innovasieverwante inligting van die onderneming organiseer en meer toeganklik maak vir die deelnemers van die innovasieproses. Daar word verslag gelewer oor die aanwending van twee nuwerwetse, komplementêre teksanalitiese tegnieke tot aanvulling van die raamwerk. Voorts word die potensiele waarde van hierdie tegnieke as deel van die inligtingstelsels wat die raamwerk realiseer, verder uitgewys en geillustreer.
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Hamilton-Wright, Andrew. "Transparent Decision Support Using Statistical Evidence." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/778.

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An automatically trained, statistically based, fuzzy inference system that functions as a classifier is produced. The hybrid system is designed specifically to be used as a decision support system. This hybrid system has several features which are of direct and immediate utility in the field of decision support, including a mechanism for the discovery of domain knowledge in the form of explanatory rules through the examination of training data; the evaluation of such rules using a simple probabilistic weighting mechanism; the incorporation of input uncertainty using the vagueness abstraction of fuzzy systems; and the provision of a strong confidence measure to predict the probability of system failure. <br /><br /> Analysis of the hybrid fuzzy system and its constituent parts allows commentary on the weighting scheme and performance of the "Pattern Discovery" system on which it is based. <br /><br /> Comparisons against other well known classifiers provide a benchmark of the performance of the hybrid system as well as insight into the relative strengths and weaknesses of the compared systems when functioning within continuous and mixed data domains. <br /><br /> Classifier reliability and confidence in each labelling are examined, using a selection of both synthetic data sets as well as some standard real-world examples. <br /><br /> An implementation of the work-flow of the system when used in a decision support context is presented, and the means by which the user interacts with the system is evaluated. <br /><br /> The final system performs, when measured as a classifier, comparably well or better than other classifiers. This provides a robust basis for making suggestions in the context of decision support. <br /><br /> The adaptation of the underlying statistical reasoning made by casting it into a fuzzy inference context provides a level of transparency which is difficult to match in decision support. The resulting linguistic support and decision exploration abilities make the system useful in a variety of decision support contexts. <br /><br /> Included in the analysis are case studies of heart and thyroid disease data, both drawn from the University of California, Irvine Machine Learning repository.
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Wu, Jinran. "Statistical support vector machines with optimizations." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/234509/1/Jinran_Wu_Thesis.pdf.

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This thesis combines support vector machines with statistical models for analyzing data generated by complex processes. The key contribution of the thesis is to propose five regression frameworks aiming for hyperparameter estimation, support vector selection, data modelling with unequal variances, temporal patterns, and cost benefit analysis. A new optimizer is also proposed for high-dimensional optimization.
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Ovsyuk, Nina Vasylivna, and Lyudmyla Oleksandrivna Galushko. "Accounting and analytical support of enterprise management." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/53925.

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1. Bezrodna T.M. Accounting and analytical support of enterprise management: defining the essence of the concept. Bulletin of the East Ukrainian National un-tu them. V. Dahl. 2008. № 10 (128). Part 2. URL: http://www.nbuv.gov.ua/portal-/Soc_Gum/VSUNU/2008_10_2/ bezrodna.pdf. 2. Volskaya V.V. Methodical approaches to accounting and analytical support and audit of management activities of agricultural enterprises. Problems of theory and methodology of accounting, control and analysis. 2012. № 3 (24). Pp. 83–88. 3. Golyachuk N.V. Accounting and analytical support as an important component of enterprise management. Coll. Science. works of Ternopil National economy. University "Economic Analysis". 2010. Vol. 6. pp. 408-410.<br>Substantiation of theoretical provisions for accounting and analytical support of enterprise management and identification of the basic principles of construction of accounting and analytical information system.<br>Обґрунтування теоретичних положень обліково-аналітичного забезпечення управління підприємством та визначення основних принципів побудови обліково-аналітичної інформаційної системи.
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FREITAS, SONIA MARIA DE. "STATISTICAL METHODOLOGY FOR ANALYTICAL METHODS VALIDATION APPLICABLE CHEMISTRY METROLOGY." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=4058@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>A metodologia estatística escolhida para validação de métodos analíticos aplicável à metrologia em química é fundamental para assegurar a qualidade, comprovar a eficiência e demonstrar a exatidão dos resultados das medições nas análises químicas. Essa metodologia, desenvolvida em conformidade com o rigor metrológico, resulta num sistema de medições validado, confiável e com incertezas quantificadas. Este trabalho propõe uma metodologia geral para validação de métodos analíticos. A metodologia desenvolvida resultou de uma síntese de métodos parciais descritos na literatura, e inclui uma escolha crítica de técnicas mais adequadas dentro das alternativas existentes. A abordagem proposta combina quatro diferentes aspectos da validação: a modelagem da curva de calibração; o controle da especificidade do método; a comparação da tendência e precisão (repetitividade e precisão intermediária) do método com um método de referência; e a estimação das componentes de incerteza inerentes a todos esses aspectos. Como resultado, além de uma proposta para validação de métodos para uso em análises químicas, obtêm- se a função de calibração inversa e as incertezas expandidas, que permitem obter os resultados analíticos associados aos valores da resposta, com suas respectivas incertezas associadas. Na modelagem geral para obtenção da curva de calibração, empregam-se técnicas estatísticas para avaliação da linearidade e para o cálculo do mínimo valor detectável e do mínimo valor quantificável. A especificidade do método analítico é avaliada pela adição de padrões a um conjunto de amostras representativas e posterior recuperação dos mesmos, com ajuste por mínimos quadrados e testes de hipóteses. Para estudar a tendência e a precisão do método quando comparado a um método de referência, utiliza-se um modelo hierárquico de quatro níveis e a aproximação de Satterthwaite para determinação do número de graus de liberdade associados aos componentes de variância. As técnicas estatísticas utilizadas são ilustradas passo a passo por exemplos numéricos.<br>The use of statistical methodology for analytical methods validation is vital to assure that measurements have the quality level required by the goal to be attained. This thesis describes a statistical modelling approach for combining four different aspects of validation: checking the linearity of the calibration curve and compute the detection and the quantification limits; controlling the specificity of the analytical method; estimating the accuracy (trueness and precision) of the alternative method, for comparison with a reference method. The general approach is a synthesis of several partial techniques found in the literature, according to a choice of the most appropriate techniques in each case. For determination of the response function, statistical techniques are used for assessing the fitness of the regression model and for determination of the detection limit and the quantification limit. Method specificity is evaluated by adjusting a straight line between added and recovered concentrations via least squares regression and hypotheses tests on the slope and intercept. To compare a method B with a reference method A, the precision and accuracy of method B are estimated. A 4-factor nested design is employed for this purpose. The calculation of different variance estimates from the experimental data is carried out by ANOVA. The Satterthwaite approximation is used to determine the number of degrees of freedom associated with the variance components. The application of the methodology is thoroughly illustrated with step-by-step examples.
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Yap, Fook Fah. "Statistical Energy Analysis of structural vibration : analytical and computational investigations." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308199.

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Zhao, Hongyan. "A visualization tool to support Online Analytical Processing." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE0000622.

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Carlson, Jennifer (Jennifer Beth) 1970. "Analytical and statistical approaches toward understanding sedimentation in siliciclastic depositional systems." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9435.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric and Planetary Sciences, 1998.<br>Folded leaves in pocket on p. [3] of cover, v. 2.<br>Includes bibliographical references.<br>Recent studies of turbidite bed thickness distributions have demonstrated power law and other statistical distributions. Chapter 2 explores the different distributions which may express fan processes and may be used as a tool to classify environments. Chapter 3 illustrates a correlation between cumulative distributions of well known turbidite deposits and interpreted fan subenvironments. A power law distribution may be, for some systems, the primary input signal and a one dimensional model allows qualitative-quantitative characterization of the effects of different fan processes. Environments dominated by different fan processes may be characterized based on the degree to which processes have acted as a "filter", systematically modifying the assumed power law distribution. This model is used to help account for bed thickness distributions observed in several field sites. Turbidite sections are often characterized in terms of alternating packages of thinning- and thickening-upward intervals, which are interpreted to be representative of different subenvironments, including channel and levee environments. In Chapter 4, stratigraphic sections from several field sites are analyzed for dominance of asymmetrical bedding packages using runs analysis. Results indicate ( 1) a correlation between the number of beds in the dataset and the significance level of the results, with may relate to prevalence of progradational and lateral migration of deposits; (2) runs tests should be applied with caution to datasets containing significant levels of erosion and amalgamation; and (3) runs tests may be used to identify the presence of interlayered lithologies and perhaps flow types. In Chapter 5, the log-log cumulative distribution model and the runs test techniques are applied to turbidites of the Permian Skoorsteenberg Fonnation in the Tanqua-Karoo Basin, South Africa. Exceptional exposure permitted a number of lateral correlation studies over a range of scales. The cumulative distribution model is supported by the turbidite distributions broadly subdivided into fan and interfan environments. Runs analysis reveals that interfan environments are generally more ordered than fan environments. Chapter 6 illustrates the development of a dual-component heterogeneous sediment transport model. A grain-scale model is integrated with a large scale basin model to simulate transport and deposition of heterogeneous-sized sediment in a fluvial system.<br>by Jennifer Carlson.<br>Ph.D.
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Books on the topic "Statistical and analytical support"

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Lawrence, Gilinsky Norman, Signor Philip W, Paleontological Society, and Geological Society of America. Meeting, eds. Analytical paleobiology. Paleontological Society, 1991.

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Meier, Peter C., and Richard E. Zünd. Statistical Methods in Analytical Chemistry. John Wiley & Sons, Inc., 2000. http://dx.doi.org/10.1002/0471728411.

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Meier, Peter C., and Richard E. Zünd. Statistical Methods in Analytical Chemistry. John Wiley & Sons, Inc., 2000. http://dx.doi.org/10.1002/0471728411.

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E, Zünd Richard, ed. Statistical methods in analytical chemistry. Wiley, 1993.

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Zvi, Boger, and Ronen Yigal 1940-, eds. Statistical treatment of analytical data. Blackwell Science, 2005.

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United States. Environmental Protection Agency. Office of Science and Technology. Engineering and Analysis Division, ed. Coal remining statistical support document. Office of Water, Office of Science and Technology, Engineering and Analysis Division, U.S. Environmental Protection Agency, 2000.

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Fabozzi, Frank J. Fixed income mathematics: Analytical & statistical techniques. Probus Pub. Co., 1993.

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Fabozzi, Frank J. Fixed income mathematics: Analytical & statistical techniques. 4th ed. McGraw-Hill, 2005.

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J, Fabozzi Frank, ed. Fixed income mathematics: Analytical & statistical techniques. 3rd ed. Irwin Professional Pub., 1997.

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W, Stringer Kenneth, Deloitte, Haskins & Sells., and Deloitte Touche Tohmatsu International, eds. Statistical techniques for analytical review in auditing. 2nd ed. John Wiley, 1996.

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Book chapters on the topic "Statistical and analytical support"

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Jayanthi, Vajiram, Sivakumar Shanmugasundaram, and Syed Khasim. "Statistical Analysis of Seizure Data to Support Clinical Proceedings." In Computational Imaging and Analytics in Biomedical Engineering. Apple Academic Press, 2024. http://dx.doi.org/10.1201/9781032669687-1.

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Moustafa, Nour, Gideon Creech, and Jill Slay. "Big Data Analytics for Intrusion Detection System: Statistical Decision-Making Using Finite Dirichlet Mixture Models." In Data Analytics and Decision Support for Cybersecurity. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59439-2_5.

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Parra-Camacho, David, Maria Huertas González-Serrano, Mario Alguacil-Jiménez, Romulo González-García, and Ferran Calabuig Moreno. "Relationship between support for sports policy and political ideology in the host community’s perception of the impacts of a major sporting event." In Statistical Modelling and Sports Business Analytics. Routledge, 2020. http://dx.doi.org/10.4324/9780367854454-6.

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Murillo-Morales, Tomas, and Klaus Miesenberger. "AUDiaL: A Natural Language Interface to Make Statistical Charts Accessible to Blind Persons." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58796-3_44.

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AbstractThis paper discusses the design and evaluation of AUDiaL (Accessible Universal Diagrams through Language). AUDiaL is a web-based, accessible natural language interface (NLI) prototype that allows blind persons to access statistical charts, such as bar and line charts, by means of free-formed analytical and navigational queries expressed in natural language. Initial evaluation shows that NLIs are an innovative, promising approach to accessibility of knowledge representation graphics, since, as opposed to traditional approaches, they do not require of additional software/hardware nor user training while allowing users to carry out most tasks commonly supported by data visualization techniques in an efficient, natural manner.
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Tavazzi, Erica, Camille L. Gerard, Olivier Michielin, Alexandre Wicky, Roberto Gatta, and Michel A. Cuendet. "A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset." In Lecture Notes in Business Information Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72693-5_22.

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AbstractThanks to its ability to offer a time-oriented perspective on the clinical events that define the patient’s path of care, Process Mining (PM) is assuming an emerging role in clinical data analytics. PM’s ability to exploit time-series data and to build processes without any a priori knowledge suggests interesting synergies with the most common statistical analyses in healthcare, in particular survival analysis. In this work we demonstrate contributions of our process-oriented approach in analyzing a real-world retrospective dataset of patients treated for advanced melanoma at the Lausanne University Hospital. Addressing the clinical questions raised by our oncologists, we integrated PM in almost all the steps of a common statistical analysis. We show: (1) how PM can be leveraged to improve the quality of the data (data cleaning/pre-processing), (2) how PM can provide efficient data visualizations that support and/or suggest clinical hypotheses, also allowing to check the consistency between real and expected processes (descriptive statistics), and (3) how PM can assist in querying or re-expressing the data in terms of pre-defined reference workflows for testing survival differences among sub-cohorts (statistical inference). We exploit a rich set of PM tools for querying the event logs, inspecting the processes using statistical hypothesis testing, and performing conformance checking analyses to identify patterns in patient clinical paths and study the effects of different treatment sequences in our cohort.
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Aigner, Wolfgang, Silvia Miksch, Heidrun Schumann, and Christian Tominski. "Analytical Support." In Visualization of Time-Oriented Data. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-079-3_6.

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Ritgen, Ulf. "Statistical Analysis." In Analytical Chemistry II. Springer Berlin Heidelberg, 2025. https://doi.org/10.1007/978-3-662-68710-9_18.

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Lewis, Gerald F. "Some Simple Statistical Concepts." In Analytical Chemistry. Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-07757-1_11.

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Malhotra, Priti. "Statistical Methods of Analysis." In Analytical Chemistry. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26757-4_1.

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Treviño, Regina. "Statistical Analysis Primer." In PreMBA Analytical Primer. Palgrave Macmillan US, 2008. http://dx.doi.org/10.1057/9780230615786_3.

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Conference papers on the topic "Statistical and analytical support"

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Crompton, Andrew M., and Peter A. Wood. "Predictive Analytics for Safety Related Service Water Systems." In CORROSION 2014. NACE International, 2014. https://doi.org/10.5006/c2014-4368.

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Abstract As the age of systems, structures, and components (SSC) in nuclear power plants increase so does the level of effort to manage their aging. Half of the nation’s nuclear plants are over 30 years old with essentially all of the remainder older than 20 years. For safety related service water systems, operating experience (OE) has shown that life spans of 25 years or more can be achieved without significant or concerted attention to mitigate internal corrosion. Nonetheless, plants are being challenged, by regulators and plant management, to define where their service water systems are in the life cycle management process and further predict, with enhanced confidence, the future levels of required maintenance, inspections, and engineering support. A significant portion of service water piping can be buried and not easily assessed. OE demonstrates that the condition of internal surfaces (i.e. internal corrosion) of buried and underground piping can be inferred from inspections of internal surfaces of above ground piping where the component material, environment and aging effects are similar. The purpose of this paper is to discuss a statistical method for quantitatively predicting piping thickness and leakage over time, provide context for the interpretation of results, and define confidence for those results. This will include a case history that demonstrates the application of a statistical model for buried and above grade segments of a service water system, benchmarking the model’s predictions, and the use of the model to prepare and plan maintenance and financial support up to license renewal and into the period of extended operation (PEO).
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Bin Yousuf, Raquib, Nicholas Defelice, Mandar Sharma, Shengzhe Xu, and Naren Ramakrishnan. "LLM Augmentations to support Analytical Reasoning over Multiple Documents." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10826114.

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Taufik, Barry Nuqoba, and Ganang Bagus Prakoso. "Decision support system for novel recommendation using analytical hierarchy process and Vikor." In INTERNATIONAL CONFERENCE ON MATHEMATICS, COMPUTATIONAL SCIENCES AND STATISTICS 2020. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0042139.

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Kosyan, Maxim, and Maxim Kosyan. "INFORMATIONAL SUPPORT FOR COASTAL FORECAST DEVELOPMENT OF RUSSIAN TIDELESS SEAS." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b939b27d514.31548650.

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The goal of the accomplished work was provision of information to the project, targeted at study of forming and evolution processes of accumulative shore forms of tideless seas of Russia under the effect of hydro-, litho- and morphodynamic factors. Project is accomplished by a team of specialists from leading Russian research institutions from year 2014 onwards. Main element of saving research results is information-analytical complex, which is found on the Internet at http://cofore.coastdyn.ru/index_eng.html, consists of static and dynamic modules, system of statistical analysis and management and protection of created resources. Information sources for information-analytical complex consists of: existing databases of reference data from Institute of Oceanology, material gathered from long distance and on-site observations over dynamic of coastal waters and sedimentary transportation; material from conferences and open publications. As project develops it is planned to keep developing complex with new research data and relevant publications.
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Kosyan, Maxim, and Maxim Kosyan. "INFORMATIONAL SUPPORT FOR COASTAL FORECAST DEVELOPMENT OF RUSSIAN TIDELESS SEAS." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b4316dc4f48.

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The goal of the accomplished work was provision of information to the project, targeted at study of forming and evolution processes of accumulative shore forms of tideless seas of Russia under the effect of hydro-, litho- and morphodynamic factors. Project is accomplished by a team of specialists from leading Russian research institutions from year 2014 onwards. Main element of saving research results is information-analytical complex, which is found on the Internet at http://cofore.coastdyn.ru/index_eng.html, consists of static and dynamic modules, system of statistical analysis and management and protection of created resources. Information sources for information-analytical complex consists of: existing databases of reference data from Institute of Oceanology, material gathered from long distance and on-site observations over dynamic of coastal waters and sedimentary transportation; material from conferences and open publications. As project develops it is planned to keep developing complex with new research data and relevant publications.
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Chokchaisiripakdee, Amorn, and Chun-Kit Ngan. "VisNLP: A Visual-based Educational Support Platform for Learning Statistical NLP Analytics." In 12th International Conference on Information Visualization Theory and Applications. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010318202240232.

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Khaliukov, Arkady V. "«Keeping Abreast of Scientific Developments»: Modern tools for supporting researchers and organizations." In The letter and digit: The libraries on the way to digitalization. Russian National Public Library for Science and Technology, 2024. http://dx.doi.org/10.33186/978-5-85638-275-3-205-221.

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The author provides information on Science Pulse Limited Liability Company, the leading provider of scientometric consulting services in Russia, its mission, team, target audience, main tasks, and priority areas. The services in the field of scientometrics are detailed, including monitoring of scientific research activities, analysis of scientometric indicators and positions of universities in international and Russian rankings, support of staff publication activity, analytical support for the management of organizations, etc. The ID SCIENCE, the information analytical Internet-based service, is described; the service enables access to search for scientific identifiers of researchers, scientific journals, and organizations. The service is to aggregate and systematize various scientometric and statistical data from open sources of scientific information. The materials of the report will be useful for specialists in the field of scientometrics and heads of the research departments of scientific and educational organizations.
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Vershinina, L. P. "OBJECTIFICATION OF FUZZY INFERENCE IN DECISION-MAKING PROBLEMS." In MODELING AND SITUATIONAL MANAGEMENT THE QUALITY OF COMPLEX SYSTEMS. Saint Petersburg State University of Aerospace Instrumentation, 2021. http://dx.doi.org/10.31799/978-5-8088-1558-2-2021-2-5-7.

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The basis of modern decision support systems is not so much analytical and statistical models as the practical application of specialists ‘ knowledge. Such systems are based on fuzzy technologies. The quality of decisions made depends on how accurately the quality of information is reflected in the fuzzy inference process. Ways to improve the objectivity of fuzzy inference at the stages of fuzzification, aggregation, activation, and accumulation are proposed.
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Fu, Yan, and Ruichen Jin. "Occupant Restraint System Design Under Uncertainty Using Analytical Uncertainty Propagation Via Metamodels." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85489.

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The effectiveness of using Computer Aided Engineering (CAE) tools to support design decisions is often hindered by the enormous computational demand of complex analysis models, especially when uncertainty is considered. Approximations of analysis models, also known as “metamodels”, are widely used to replace analysis models for optimization under uncertainty. However, due to the inherent nonlinearity in occupant responses during a crash event and relatively large numbers of uncertain variables and responses, naive application of metamodeling techniques can yield misleading results with little or no warning from the algorithms which generate the metamodels. Furthermore, in order to improve the quality of metamodels, a relatively large number of design of experiments (DOE) and comparatively expensive metamodeling techniques, such as Kriging or radial basis function (RBF), are necessary. Thus, sampling-based methods, e.g. Monte Carlo simulations, for obtaining the statistical quantities of system responses during the optimization loop may still be inefficient even for these metamodels. In recent years, analytical uncertainty propagation via metamodels is proposed by Chen et al. 2004, which provides analytical formulation of mean and variance evaluations via a variety of metamodeling techniques to reduce the computational time and improve the convergence behavior of optimization under uncertainty. An occupant restraint system design problem is used as an example to test the applicability of this method.
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Maleki, H. "Tackling Data-Limited Rock Mechanics Models." In 58th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2024. http://dx.doi.org/10.56952/arma-2024-0554.

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ABSTRACT: Rock mechanics models are "data-limited," i.e., one seldom knows enough about a rock mass to use computational models unambiguously. Statistical methods, however, are capable of being applied where there are good data but a limited understanding of certain natural phenomena, such as the creep of rock salt or coal burst mechanics. To demonstrate the use of statistical-analytical techniques in rock mechanics problems, two case studies are used. The first study involves a historic examination of a nuclear waste repository in rock salt, where mathematical models are built using excavation convergence data to identify significant variables and estimate future deformation and stability. The second case study focuses on ongoing analysis of coal burst mechanics and associated factors. Over the last three decades, a hybrid statistical-analytical methodology has been applied for identifying significant factors affecting coal burst. The final model utilizes data from 30 case studies from Utah, Colorado, Kentucky, and other Eastern U.S. mines providing predictive capability for the entire United States coal fields. 1. INTRODUCTION There are two methods used by engineers and researchers as tools to help predict conditions in the future: statistical and computational. Starfield and Cundall (1988) identify rock mechanics models as "data-limited," that is, one seldom knows enough about a rock mass to use computational models unambiguously. Statistical methods, on the other hand, are uniquely capable of being applied where there are good data but a limited understanding of certain natural phenomena, such as the creep of rock salt or elevated risk domains associated with the violent failure of strata commonly referred to as coal bumps or bursts. Rock bursts and coal bumps are defined as sudden, violent failure that occur near mine entries that are of such a magnitude that they expel large amount of rock and/or coal into an excavation, restricting safe and efficient access to the working area (Maleki and White 1997). Gradual failure and spalling is common in coal mine environment and is considered not problematic but controlled through proper mine orientation and application of support as needed. Important to these real-world statistical evaluations are (1) having sufficient number of data collected consistently and (2) incorporation of analytical calculations for quantifying geologic, mining and particularly geotechnical variables. By combining the strength of the statistical and analytical models, an improved "hybrid" model is created and utilized. Powerful examples of the use of statistical techniques to evaluate stability and performance using significant field investigations are given by Parson and Dahl (1971), Maleki and White (1997), Maleki and Owen (2001), Maleki et al. (2001), Maleki et al. (2023), and Maleki (2023).
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Reports on the topic "Statistical and analytical support"

1

Mazorchuk, Mariia S., Tetyana S. Vakulenko, Anna O. Bychko, Olena H. Kuzminska, and Oleksandr V. Prokhorov. Cloud technologies and learning analytics: web application for PISA results analysis and visualization. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4451.

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This article analyzes the ways to apply Learning Analytics, Cloud Technologies, and Big Data in the field of education on the international level. This paper provides examples of international analytical researches and cloud technologies used to process the results of those researches. It considers the PISA research methodology and related tools, including the IDB Analyzer application, free R intsvy environment for processing statistical data, and cloud-based web application PISA Data Explorer. The paper justifies the necessity of creating a stand-alone web application that supports Ukrainian localization and provides Ukrainian researchers with rapid access to well-structured PISA data. In particular, such an application should provide for data across the factorial features and indicators applied at the country level and demonstrate the Ukrainian indicators compared to the other countries’ results. This paper includes a description of the application core functionalities, architecture, and technologies used for development. The proposed solution leverages the shiny package available with R environment that allows implementing both the UI and server sides of the application. The technical implementation is a proven solution that allows for simplifying the access to PISA data for Ukrainian researchers and helping them utilize the calculation results on the key features without having to apply tools for processing statistical data.
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Jacobson, J. Automated statistical modeling of analytical measurement systems. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10164281.

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Bormolini, Barbara, Robert Klemmer, and Norm Trier. Analytical Support to Operation Joint Endeavor. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada311802.

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Myers, M. L. Quality assurance management plan special analytical support. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/330747.

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Eaton, John K., and Paul A. Durbin. Transonic Cascade Measurements to Support Analytical Modeling. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada484614.

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Durbin, Paul A., John K. Eaton, Greg Laskowski, and Amanda Vicharelli. Transonic Cascade Measurements to Support Analytical Modeling. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada435404.

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May, Harold D. Analytical Support for PCB Dechlorination in Marine Sediments. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada389525.

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Udey, Ruth Norma. Statistical Data Analyses of Trace Chemical, Biochemical, and Physical Analytical Signatures. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1080408.

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Shynenko, Mykola, and Olga Pinchuk. Activity of users of the web resource "Electronic Library of the National Academy of Sciences of Ukraine" during crisis events. Institute for Digitalization of Education, 2022. http://dx.doi.org/10.33407/lib.naes.733438.

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The monitoring of the use of the web resource "Electronic Library of the National Academy of Sciences of Ukraine" is aimed at providing informational and methodological support by means of the Google Analytics service in order to track the processes of visiting and using electronic resources, as well as to increase the efficiency of the development, improvement and maintenance of the electronic library site. A comparative analysis of the use of library resources for the period from March 1-May 31, 2022 to September 1-November 30, 2022 during the full-scale Russian invasion of Ukraine was performed. Also, to identify trends in changes in the activity of users of the web resource, a comparative analysis of the use of library resources was performed for the period: 2021. - 2022. The monitoring of the use of the website of the electronic library of the National Academy of Sciences of Ukraine is carried out according to the following indicators: overview of visitors, demographics of visitors, behavior of visitors on the website of the electronic library, technologies for visiting the site, mobile devices used, traffic, information of the statistical module. For scientists, post-graduate students, heads of scientific institutions of the National Academy of Sciences of Ukraine and specialists in the field of librarianship.
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Vaughan, Tanya, Sarah Richardson, Toby Carslake, et al. Building capacity for Quality Teaching Rounds – Victoria. Final report. Australian Council for Educational Research, 2023. http://dx.doi.org/10.37517/978-1-74286-713-7.

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The Australian Council for Educational Research (ACER) was commissioned by the Teachers and Teaching Research Centre (TTRC) at the University of Newcastle to conduct an independent randomised controlled trial (RCT), with the goal of examining effects of Quality Teaching Rounds (QTR) on student outcomes and teachers’ practice in Victorian high schools. A total of 19 schools participated in Quality Teaching Rounds in 2022, with 20 schools in the wait list control. Data were gathered in an ongoing manner during the evaluation with: Progressive Assessment Tests in Mathematics (PAT-M) and reading (PAT-R) – baseline and follow up; student self-efficacy and aspiration surveys – baseline and follow up; teacher surveys – one questionnaire administered every term; implementation fidelity check surveys for teachers to complete for each QT Round; and implementation fidelity checks with onsite visits from ACER staff for 33% of the treatment schools. Key findings include: The mixed model analysis showed that treatment was not a significant predictor of PAT-R and PAT-M outcomes. Differences in student responses to the self-efficacy and aspiration surveys were identified. The control group showed a significant increase in the level of education that they aspired to complete (p = 0.037). Teachers in the control group had statistically significant growth in teacher efficacy, while those in the treatment group showed statistically significant lower teacher student support. Within the QTR process, the longest time was spent on discussing the coding and the individual coding process. Key observations identified from analysis of the fidelity check data are: teacher stress due to high rates of absenteeism, varied use of the Classroom Practice Guide, and analytical conversations about some elements and terms.
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