Thematische Bibliographien / Analysis system of indicators

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Auswahl der wissenschaftlichen Literatur zum Thema „Analysis system of indicators“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 4. Februar 2022

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Zeitschriftenartikel zum Thema "Analysis system of indicators"

Išoraite, Margarita. "ANALYSIS OF TRANSPORT PERFORMANCE INDICATORS." TRANSPORT 20, no. 3 (2005): 111–16. http://dx.doi.org/10.3846/16484142.2005.9638006.

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The article analyses the following issues: 1) key performance indicators, 2) best value indicators, 3) performance indicators and the change process, 4) transport programme indicators inputs, outputs, results and impacts, 5) indicators of effectiveness, efficiency and performance, 6) overcoming of the problems of using indicators, 7) criteria of the establishment of performance indicator system.

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Vink, Karina, Md Nasif Ahsan, Hisaya Sawano, and Miho Ohara. "Global Water-Related Risk Indicators: Meta-Analysis of Indicator Requirements." Journal of Disaster Research 12, no. 2 (2017): 355–67. http://dx.doi.org/10.20965/jdr.2017.p0355.

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Despite a long developmental history of water-related disaster risk indicators, there is still no consensus or reliable system for selecting objective data, no methodological system for choosing and verifying the relevancy of water-related disaster risk indicators, and no linking results back to root causes or addressing possible impacts on policies or actors to instigate change.Global policy documents such as the Sendai Framework for Disaster Risk Reduction (DRR) 2015–2013 [1] emphasize the urgent need for indicators capable of measuring risk reduction. However, developing and determining risk indicators faces many issues. Most disaster risk indices published do not yet include a basic overview of what data was used and how it was collected, let alone provide a systematic explanation of why each indicator was included, and why others were not. This consequently complicates linking the findings to their potential policy impacts. It also complicates the providing of clear-cut recommendations for improving resilience, which is a common intent of disaster risk indices.This study, which focuses on water-related hazards, aims to provide disaster managers with a set of criteria for evaluating existing datasets used in disaster risk indices, index construction methods, and the links back to policy impacts. So far, there has been no comprehensive overview of indicator requirements or scoring systems. Previous studies concerning indicator evaluating metrics [2] have fewer metrics and have not yet addressed the different tiers of requirements, namely objective indicator data quality, methodological/epistemological aspects of index composition, and, most importantly, policy and actors of change (impact requirements). Further testing of these metrics in local studies can lead to the greatly needed scientific justification for indicator selection and can enhance index robustness.The results aid in developing an evaluation system to address issues of data availability and the comparability of commonly used indicator sources, such as the World Bank. Once indicators can be scientifically linked to impacts through policy devices, national governments or other actors can become more likely to claim ownership of the data management of indicators. Future studies should expand this evaluation system to other natural hazards and focus on investigating the links between indicators and DRR in order to further validate indicator selection robustly.

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Wang, Mo Yu, Yan Yan Wang, Bing Jie Bai, and Xiao Liu Shen. "Index System Construction and Research of Inexact Influence Analysis Model of Energy Risk System." Advanced Materials Research 724-725 (August 2013): 1221–26. http://dx.doi.org/10.4028/www.scientific.net/amr.724-725.1221.

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With the growing tension of the energy resources, energy risk has become the core of common concern. In this paper, the definition and the cause of energy risk analysis, combined with the analytic hierarchy process (AHP) construct the comprehensive risk-based energy industry index system. According to the viewpoint of information theory, the entropy method to calculate the objective factors, to measure the information content of the Beijing Energy Risk indicators inexact. By visual comparison of each indicator entropy, research the impact of various indicators of system.

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Telles, Tiago S., Ana J. Righetto, Marco A. P. Lourenço, and Graziela M. C. Barbosa. "No-tillage system participatory quality index." Revista Brasileira de Engenharia Agrícola e Ambiental 24, no. 2 (2020): 128–33. http://dx.doi.org/10.1590/1807-1929/agriambi.v24n2p128-133.

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ABSTRACT The no-tillage system participatory quality index aims to evaluate the quality and efficiency of soil management under no-tillage systems and consists of a weighted sum of eight indicators: intensity of crop rotation, diversity of crop rotation, persistence of crop residues in the soil surface, frequency of soil tillage, use of agricultural terraces, evaluation of soil conservation, balance of soil fertilization and time of adoption of the no-tillage system. The aim of this study was to assess the extent to which these indicators correlate with the no-tillage system participatory quality index and to characterize the farmers who participated in the research. The data used were provided by ITAIPU Binacional for the indicators of the no-tillage system participatory quality index II. Descriptive analyses were performed, and the Pearson correlation coefficient between the index and each indicator was calculated. To assess the relationship between the indicators and the farmers’ behavior toward the indicators, principal component analysis and cluster analysis were performed. Although all correlations are significant at p-value ≤ 0.05, some correlations are weak, indicating a need for improvement of the index. The principal component analysis identified three principal components, which explained 66% of the variability of the data, and the cluster analysis separated the 121 farmers into five groups. It was verified that the no-tillage system participatory quality index II has some limitations and should therefore be reevaluated to increase its efficiency as an indicator of the quality of the no-tillage system.

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Xu, Dan, Jilong Liu, Dong Liu, et al. "Indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system." Water Supply 21, no. 6 (2021): 3251–66. http://dx.doi.org/10.2166/ws.2021.090.

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Abstract Resilience is an important indicator for measuring regional sustainable development capacity. The construction of a suitable evaluation indicator system is the premise of evaluating regional sustainable development. In this study, taking the Jiansanjiang Administration of Heilongjiang Province in China as an example, a preliminary selection library of the evaluation indicator system for the resilience of a regional agricultural soil–water resource composite system covering seven subsystems and 59 indicators was established. Selection criteria such as the Dale indicator criteria, subjective and objective combination weighting and principal component analysis were introduced to construct an optimization model for the resilience evaluation indicator system for the ASWRS. First, 14 indicators that were incomplete or incapable were removed. Then, the Dale indicator selection criteria were used to ensure that 14 indicators were selected. The binary fuzzy comparison method and criteria importance through interference correlation method were used to calculate the combination weight. Finally, an indicator system optimization model was established. The indicator system was optimized from 59 to 35 indicators, and the completeness of the indicator system reached 85.75%. The proposed method had obvious advantages in terms of indicator identification and elimination, and it may truly achieve the goal of indicator optimization.

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Tmava, Qazim, Fahredin Berisha, and Milaim Mehmeti. "Comparative Analysis of Banking System Profitability in Western Balkan Countries." Journal of Economics and Management Sciences 2, no. 2 (2019): p33. http://dx.doi.org/10.30560/jems.v2n2p33.

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The aim of this paper is to analyze the profitability of the banking sector in the Western Balkan countries. (Note 1) This paper reviews return on assets (ROA) as an indicator of profit and return on equity (ROE) as an indicator of profitability in the banking systems of the respective countries, as well as some other macroeconomic variables that influence them. The main objective of this study is to identify the specific and macroeconomic variables of this industry, that have an impact on the profitability of commercial banks operating in the Western Balkan countries during the 2008-2015 period. Specifically, this paper addresses external indicators (gross domestic product, remittances, foreign direct investment, unemployment), and industry and bank specific indicators (assets, loans, loan-to-deposit ratio, non performing loans and interest rates) that affect the profitability of the banking system in respective countries. Therefore, according to the data generated during the research and the literature review, the profitability of banks measured by the ROA and ROE indicators, regarding the analyzed countries, turns out to be extremely low, especially compared to EU countries where they strive.

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Balamirzoev, N. L. "BUILDING AN INTEGRAL INDICATOR OF THE EFFECTIVENESS OF THE MICROCREDIT SYSTEM BASED ON THE ANALYSIS OF MODELS OF QUALITY OF LIFE." Herald of Dagestan State Technical University. Technical Sciences 45, no. 4 (2019): 89–101. http://dx.doi.org/10.21822/2073-6185-2018-45-4-89-101.

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Objectives The policy of the state microcredit system should be aimed at achieving the maximum possible value of the indicators I.MFO, IB, IB and IBH. The greater the value of all of the introduced indicators IB, IFO, IB, IB and IB, the more effective from the point of view of state interests is the system of micro crediting . Method. The BLI and Diener models were used to assess the quality of life in terms of the possibilities and feasibility of using them to assess the effectiveness of the microcredit system. Result. In this paper, the formation of a composition of indicators to assess the effectiveness of the microcredit system based on the indicators considered in the proposed models is carried out. A variant is proposed for constructing an integral indicator for assessing the effectiveness of both the microcredit system as a whole and a separate microfinance organization (MFI). A list of 21 indicators was compiled, on the basis of which an integral indicator of the functioning of the MFO system was built. Conclusion. A set of indicators for evaluating the effectiveness of the microcredit system has been formed. Relations have been formed to estimate the value of the integral indicator of the effectiveness of the microcredit system, both at the level of the entire state and at the level of an individual region, which makes it possible to compare individual regions and states according to thedegree of effectiveness of microcredit systems in them.

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Bogdanova, Marina V., and Alexander A. Parshintsev. "ANALYSIS OF INTELLECTUAL CAPITAL: SOURCES OF INFORMATION AND SYSTEM OF INDICATORS." Scientific Review. Series 1. Economics and Law, no. 5 (2020): 80–90. http://dx.doi.org/10.26653/2076-4650-2020-5-07.

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This article is devoted to the assessment of intellectual capital, in particular, the development of a system of statistical indicators. In order to develop a system of statistical indicators, a comparative analysis of approaches to the definition of intellectual capital, as well as its structure, has been carried out. As a result of the performed analysis, it is proposed to study intellectual capital from the point of view of its essential specifics, taking into account the theoretical aspects of capital reproduction. For a comprehensive statistical analysis of intellectual capital, a multi-level system of indicators has been developed, the first level of which includes two components: intellectual potential and the result of its use, as well as three groups of indicators characterizing the process of intellectual capital reproduction: production of intellectual capital, distribution, exchange and its consumption. The second level of the scorecard details the components and groups of the first level. The third level includes individual indicators of intellectual capital. Using methods for constructing relative values and series of dynamics, the analysis of the presence and dynamics of intellectual capital by individual indicators in the Russian Federation and in comparison with the countries of the world was carried out. It was found that some indicators give multidirectional trends that complicate the overall interpretation of the results. It is concluded that it is necessary to develop a complex integral indicator of intellectual capital.

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Mashchenko, Maryna. "Analysis of the approaches to evaluate environmental security of enterprises." Economics of Development 17, no. 4 (2018): 13–19. http://dx.doi.org/10.21511/ed.17(4).2018.02.

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Proved that to achieve socio-economic development of state it is necessary to ensure not only invarionmental security of state, but also of enterprise. There are a sufficiently large number of methods to evaluate the economic and ecological security of enterprise and, at the same time, there aren’t any practical methods to evaluate its environmental security. This confirms the necessity to analyse this issue in a more detailed way. The aim of the article is to analyse and identify the drawbacks of existing methods to evaluate the environmental security of enterprise and develop a system of indicators for environmental security of industrial enterprises. The following research methods were used in the article: method of analysis and synthesis to determine the drawbacks of existing methods to establish the level of environmental security, the graph analytic method to build a scheme of the process to develop the system of indicators for environmental security of industrial enterprise. It is determined that the process to develop the system of indicators for environmental security of industrial enterprise is a process of successive stages of determining the purpose and tasks to diagnose the state of environmental security of industrial enterprise, to select and process the necessary information and, directly, to develop a system of indicators of environmental security of industrial enterprise. The practical significance of this study is to determine the level of environmental security of industrial enterprise as an integral indicator. Its core is a set of social and economic, technical and technological, scientific and innovative, managerial and organizational indicators which have to account the criteria related to the external and internal environment of the enterprise activity. The proposed process to develop the system of indicators for environmental security of industrial enterprise allows determining the level of environmental security.

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LEV, M. Yu, M. B. MEDVEDEVA, Yu G. LESHCHENKO, and E. A. PERESTORONINA. "SPATIAL ANALYSIS OF FINANCIAL INDICATORS DETERMINING THE LEVEL OF ENSURING THE ECONOMIC SECURITY OF RUSSIA." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 2, no. 1 (2021): 21–34. http://dx.doi.org/10.36871/ek.up.p.r.2021.01.02.002.

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The key mechanism for assessing the risks and threats of the national economy at a qualitative level is the system of economic security indicators. The most important of its sections is the system of financial indicators, which includes groups of indicators that reflect the activities of the state and economic entities in various spheres of the economy. The object of the research is the economic security of Russia. The subject of the research is the system of financial indicators of economic security of Russia. The practical significance of the work is as follows: – the approaches proposed by the authors make it possible to assess the reality of the parameters of a macroeconomic forecast; – the system of financial indicators of economic security makes it possible to monitor the tax, budget, currency and other systems in aggregate, and to highlight those that are at risk; – the system of financial indicators of economic security contributes to the formation of individual of measures of a proactive nature to prevent and minimize crisis processes aimed at eliminating imbalances in the development and effective functioning of the national economic system. The results of the research can be used in the process of monitoring the economic activity of business entities, in the educational process of financial and economic disciplines, by government bodies in the formation of economic policy.

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Dissertationen zum Thema "Analysis system of indicators"

Self, Nathan. "User Interfaces for an Open Source Indicators Forecasting System." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/56696.

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Intelligence analysts today are faced with many challenges, chief among them being the need to fuse disparate streams of data and rapidly arrive at analytical decisions and quantitative predictions for use by policy makers. A forecasting tool to anticipate key events of interest is an invaluable aid in helping analysts cut through the chatter. We present the design of user interfaces for the EMBERS system, an anticipatory intelligence system that ingests myriad open source data streams (e.g., news, blogs, tweets, economic and financial indicators, search trends) to generate forecasts of significant societal-level events such as disease outbreaks, protests, and elections. A key research issue in EMBERS is not just to generate high-quality forecasts but provide interfaces for analysts so they can understand the rationale behind these forecasts and pose why, what-if, and other exploratory questions. This thesis presents the design and implementation of three visualization interfaces for EMBERS. First, we illustrate how the rationale behind forecasts can be presented to users through the use of an audit trail and its associated visualization. The audit trail enables an analyst to drill-down from a final forecast down to the raw (and processed) data sources that contributed to the forecast. Second, we present a forensics tool called Reverse OSI that enables analysts to investigate if there was additional information either in existing or new data sources that can be used to improve forecasting. Unlike the audit trail which captures the transduction of data from raw feeds into alerts, Reverse OSI enables us to posit connections from (missed) forecasts back to raw feeds. Finally, we present an interactive machine learning approach for analysts to steer the construction of machine learning mod-els. This provides fine-grained control into tuning tradeoffs underlying EMBERS. Together, these three interfaces support a range of functionality in EMBERS, from visualization of algorithm output to a complete framework for user feedback via a tight human-algorithm loop. They are currently being utilized by a range of user groups in EMBERS: analysts, social scientists, and machine learning developers, respectively. Master of Science

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Lamoureux, Benjamin. "Development of an Integrated Approach for PHM - Prognostics and Health Management : Application to a Turbofan Fuel System." Thesis, Paris, ENSAM, 2014. http://www.theses.fr/2014ENAM0018/document.

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Pour les constructeurs de moteurs d'avions comme Snecma, la disponibilité est un des enjeux clés de l'avenir. En effet, la limitation des retards et annulations de vols ainsi que la réduction de la fréquence et de la durée des opérations de maintenance pourraient entraîner des économies importantes. Pour accroître la disponibilité, l'outil le plus utilisé actuellement est le "prognostics and health management" (PHM). La première contribution de la thèse est de proposer des cadres terminologique et fonctionnel pour le développement du PHM adapté aux spécificités des moteurs d'avions. Par la suite, une approche intégrée basée sur le nouveau modèle en V3 est formalisée. La seconde contribution est un processus basé sur les modèles pour le développement de la partie embarquée chargée de l'extraction des indicateurs de santé. Elle est basée sur l'analyse de sensibilité, la régression par vecteurs supports et des nouveaux indicateurs de performances. Puisque ce processus est réalisé avant l'entrée en service, les données stochastiques sont obtenues par propagation d'incertitudes. Pour surmonter les temps de calcul liés aux évaluations du modèle, des métamodèles sont utilisés. Plus particulièrement, la troisième contribution de la thèse est une technique originale combinant régression par vecteurs supports et Krigeage. L'approche globale est finalement testée sur le système carburant d'un moteur d'avion. Les résultats sont prometteurs, tant au niveau industriel pour les précieuses informations qu'elle fournit sur la qualité du jeu d'indicateurs de santé qu'au niveau académique pour la précision apportée par la nouvelle approche du Krigeage-SVR For manufacturers of aircraft engines such as Snecma, the increase of systems availability is one of the key challenges of the future. Indeed, the limitation of delays and cancellations and the reduction of maintenance operations frequency and duration could lead to important costs savings. To improve availability, the most proven tool is currently prognostics and health management (PHM). The first contribution of this thesis work is to propose complete terminological and functional frameworks for the development of PHM adapted to the specific application on aircraft engines. Subsequently, an integrated development approach based on the original V3-model is formalized. The second contribution is an original model-based process for the development of the embedded extraction of health indicators, based on sensitivity analysis, support vector regression and original performance indicators for the validation. Since it is aimed at being performed before the entry into service, the stochastic data are issued from Monte-Carlo based uncertainties propagation. In order to overcome the prohibitive computation time of the model evaluations, surrogate models are used. More particularly, the third contribution of this thesis work is an original technique combining support vector regression with Kriging. The whole approach is finally tested on an aircraft engine fuel system. The results are promising, both at the industrial level with the release of valuable information about the quality of the health indicators set and at the academic level with the proven accuracy of the novel SVR-Kriging approach

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Ha, Dinh Truc. "Line outage vulnerabilities of power systems : models and indicators." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAT018/document.

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La vulnérabilité des systèmes électriques est l'un des problèmes liés à leur complexité. Il a fait l’objet d’une attention croissante des chercheurs au cours des dernières décennies. Malgré cela, les phénomènes fondamentaux qui régissent la vulnérabilité du système ne sont pas encore bien compris.Comprendre comment la vulnérabilité des réseaux électriques émerge de leur topologie est la motivation principale du présent travail. Pour cela, le présent travail de recherché propose une nouvelle méthode pour évaluer la vulnérabilité des systèmes électriques et identifier leurs éléments les plus critiques. La méthode permet d’avoir une bonne compréhension des liens entre la topologie d’un réseau et sa vulnérabilité à des pertes d’ouvrages (lignes ou transformateurs).La première partie de ce travail consiste en une analyse critique des approches rencontrées dans la littérature, s’appuyant sur la théorie des graphes, pour analyser la vulnérabilité des réseaux électriques. Les résultats fournis par ces approches pour quatre réseaux IEEE sont comparés à ceux fournis par une analyse de contingence de référence, basée sur une résolution d’un load-flow AC. Des avantages et inconvénients de chaque approche est tirée une méthode améliorée pour l'évaluation de la vulnérabilité des réseaux électriques aux pertes d’ouvrage. Cette méthode est basée sur une approximation courant continue du load flow.La deuxième partie propose une nouvelle approche basée sur la théorie spectrale des graphes et son utilisation pour la résolution d’un load flow DC. Elle permet de mieux comprendre comment la vulnérabilité des réseaux électriques et leurs composants critiques émergent de la topologie du graphe sous-jacent au réseau The vulnerability of electrical systems is one of the problems related to their complexity. It has received increasing attention from researchers in recent decades. Despite this, the fundamental phenomena that govern the vulnerability of the system are still not well understood.Understanding how the vulnerability of power systems emerges from their complex organization is, therefore, the main motivation of the present work. It proposes the definition of a standard method to assess the vulnerability of power systems and identify their most critical elements. The method enables a better understanding of the links between the topology of the grid and the line outage vulnerabilities.The first part of this research work offers a critical review of literature approaches used to assess system vulnerability. The results provided by these approaches for four IEEE test systems are confronted to a reference contingency analysis using AC power flow calculations. From these analyses, pros and cons of each approach are outlined. An improved method for assessment of system vulnerability to line outages is defined from this confrontation. It is based on DC load flow and graph theory.The second part proposes a new approach based on spectral graph theory and solving of DC power flow to identify how system vulnerability and critical components emerge from the power network topology

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Sandy, Alexis Emily. "Environmental and Digital Data Analysis of the National Wetlands Inventory (NWI) Landscape Position Classification System." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/33572.

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The National Wetlands Inventory (NWI) is the definitive source for wetland resources in the United States. The NWI production unit in Hadley, MA has begun to upgrade their digital map database, integrating descriptors for assessment of wetland functions. Updating is conducted manually and some automation is needed to increase production and efficiency. This study assigned landscape position descriptor codes to NWI wetland polygons and correlated polygon environmental properties with public domain terrain, soils, hydrology, and vegetation data within the Coastal Plain of Virginia. Environmental properties were applied to a non-metric multidimensional scaling technique to identify similarities within individual landscape positions based on wetland plant indicators, primary and secondary hydrology indicators, and field indicators of hydric soils. Individual NWI landscape position classes were linked to field-validated environmental properties. Measures provided by this analysis indicated that wetland plant occurrence and wetland plant status obtained a stress value of 0.136 (Kruskalâ s stress measure = poor), which is a poor indicator when determining correlation among wetland environmental properties. This is due principally to the highly-variable plant distribution and wetland plant status found among the field-validated sites. Primary and secondary hydrology indicators obtained a stress rating of 0.097 (Kruskalâ s stress measure = good) for correlation. The hydrology indicators measured in this analysis had a high level of correlation with all NWI landscape position classes due the common occurrence of at least one primary hydrology indicator in all field validated wetlands. The secondary indicators had an increased accuracy in landscape position discrimination over the primary indicators because they were less ubiquitous. Hydric soil characteristics listed in the 1987 Manual and NTCHS field indicators of hydric soils proved to be a relatively poor indicator, based on Kruskalâ s stress measure of 0.117, for contrasting landscape position classes because the same values occurred across all classes. The six NWI fieldâ validated landscape position classes used in this study were then further applied in a public domain digital data analysis. Mean pixel attribute values extracted from the 180 field-validated wetlands were analyzed using cluster analysis. The percent hydric soil component displayed the greatest variance when compared to elevation and slope curvature, streamflow and waterbody, Cowardin classification, and wetland vegetation type. Limitations of the soil survey data included: variable date of acquisition, small scale compared to wetland size, and variable quality. Flow had limitations related to its linear attributes, therefore is often found insignificant when evaluating pixel values that are mean of selected pixels across of wetland landscape position polygons. NLCD data limitations included poor quality resolution (large pixel size) and variable classification of cover types. The three sources of information that would improve wetland mapping and modeling the subtle changes in elevation and slope curvature that characterize wetland landscapes are: recent high resolution leaf-off aerial photography, high-quality soil survey data, and high-resolution elevation data. Due to the data limitations and the choice of variables used in this study, development of models and rules that clearly separate the six different landscape positions was not possible, and thus automation of coding could not be attempted. Master of Science

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Kaňa, Jakub. "Zhodnocení finanční situace mezinárodního podniku a návrhy na zlepšení v problémových oblastech." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-443140.

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The diploma thesis evaluates the strategic position and the level of financial health of a selected internationally operating company. The thesis is divided into three parts. The theoretical part defines the basic theoretical concepts of strategic and financial analysis. The analytical part evaluates the strategic position of the company and its financial situation. The last part of the thesis presents a proposal for the company's expansion strategy.

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Jun, Hwandon. "Strategic valve locations in a water distribution system." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/27875.

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Valves play a critical role in a water distribution system for subsystem isolation and flow or pressure control. Among them, subsystem isolation is required to repair or to rehabilitate a broken component and can be done by closing adjacent valves. To evaluate the role of valves, the concept of â Segmentâ is necessary. A segment consists of a set of pipes and nodes isolated together by closing adjacent valves when a pipe fails. An efficient algorithm to identify segments in a water distribution system is proposed. In addition, when a segment is isolated, an additional subsystem may be disconnected from water sources by the segment isolation. It is a topological unintended isolation. In addition, a hydraulic failure, in terms of pressure types of failures at demand nodes should be considered. These three account for the failure impact of a pipe. Placing valves efficiently improves the reliability of a water distribution system. However, the valve reliability itself is not 100%. Therefore, valve failure consequence should be explored in determining the locations of valves. For this purpose, three methodologies, namely segment-valve matrix algorithm, decision tree approach and simulation are proposed. Another consideration for placing valves is a strategic valving rule, namely N and (N-1) valving rules. Using a formulation for node reliability in terms of failing valves, the reliability difference between the two valving rules is evaluated. We also employ a mixed N and (N-1) valving rule. Another strategic valving rule, a segment size reducing approach minimizing the number of affected customers is proposed. The developed algorithms are utilized to build software, the Strategic Valve Management Model, to solve practical problems. The methodology is applied to three real water distribution systems. Ph. D.

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Choi, Hyongjun. "Definitions of performance indicators in real-time and lapsed-time analysis in performance analysis of sports." Thesis, Cardiff Metropolitan University, 2008. http://hdl.handle.net/10369/4369.

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Performance analysis is an objective method of gathering the data of performance, and generally transforms these observations into numerical data. Performance indicators, as well as a selection or elements of sucessful outcome, have often been used in order to feedback augmented information in performance analysis systems, but they have rarely been considered within the classification of performance analysis systems based on timing of analysis and feedback. The main aim of this study is to investigate performance indicators used within real-time and lapsed time systems so that the definitions of the performance indicators, the effectiveness of the performance indicators, their reliability and validity within real time analysis systems can be analyzed.

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Leake, Alastair R. "A comparative analysis of food production : environmental and economic indicators under contrasting farming systems." Thesis, University of Leicester, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.534554.

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Stupka, Radim. "Zhodnocení finanční situace podniku a návrhy na její zlepšení." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-414480.

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This diploma thesis focuses on the evaluation of the financial situation of the company ProMedica spol. s r.o., which is achieved through the tools of situational and financial analysis, and on the basis of this evaluation, proposals are further formulated to improve financial health and increase competitiveness.

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Thomas, Camille. "Development of a Notational Analysis System for Selected Soccer Skills of a Women's College Team." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1473.pdf.

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Bücher zum Thema "Analysis system of indicators"

Sibirskaya, Elena V., Lyudmila V. Oveshnikova, Lilia A. Mikheykina, and Innara R. Lyapina. Economic Systems Analysis: Statistical Indicators. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-91247-9.

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International Conference on Environmental Indices Systems Analysis Approach (1st 1997 Saint Petersburg, Russia). Environmental indices systems analysis approach. EOLSS, 1999.

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Nicholson, M. Attitude Determination Error Analysis System (ADEAS) mathematical specification document. Goddard Space Flight Center, 1988.

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Okubo, Yoshiko. Bibliometric indicators and analysis of research systems: Methods and examples. OECD, 1997.

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Kenna, James G. The Significant Indicator Workload Analysis System: Review and recommendations. Bureau of Land Management, Utah State Office], 1987.

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Political atlas of the modern world: An experiment in multidimensional statistical analysis of the political systems of modern states. Wiley-Blackwell, 2010.

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Kielmann, Arnfried A. Assessing district health needs, services, and systems: Protocols for rapid data collection and analysis. African Medical and Research Foundation, 1991.

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Lefkovits, Ivan. Limiting dilution analysis of cells of the immune system. 2nd ed. Oxford University Press, 1999.

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Minobrnauki, Rossiyskoy. Finance and Financial analysis. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1242227.

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The textbook systematizes basic knowledge in the field of finance, financial analysis and financial management, presented in their direct relationship and significance from the point of view of evaluation, diagnosis, forecasting and monitoring of the continuity of the organization's activities. It includes seven chapters grouped into three sections. The first section is devoted to the theoretical foundations of the organization's financial management, stakeholders and sources of the organization's activities. The second section discusses the basics of financial analysis, providing knowledge of the main directions, information base and methods of financial analysis, as well as allowing them to be applied reasonably, calculate and evaluate analytical indicators, determine the impact of globalization processes, various macro-and microfactors on the financial condition of the organization. The third section contains the basics of financial management, providing an understanding of the essence of the financial mechanism of the organization and algorithms for justifying decisions in the field of financial management. It complies with the federal state educational standards of higher education of the latest generation and provides the formation of basic competencies in the field of finance, financial management and financial analysis. For bachelor's, specialist's and master's students studying in the field of Economics, the system of additional professional education, training centers for advanced training of auditors and other financial market specialists, as well as for individual preparation of applicants for qualification certification and passing qualification exams.

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Common country assessment of Lesotho: A country-based process for reviewing and analysing the national development situation and identifying key issues as a basis for advocacy and policy dialogue : December 2004 report. United Nations System in Lesotho, 2004.

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Buchteile zum Thema "Analysis system of indicators"

Sibirskaya, Elena V., Lyudmila V. Oveshnikova, Lilia A. Mikheykina, and Innara R. Lyapina. "Macroeconomic Indicators in SNA." In Economic Systems Analysis: Statistical Indicators. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91247-9_6.

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Mekush, Galina E. "Evaluating the Sustainable Development of a Region Using a System of Indicators." In Sustainability Analysis. Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9780230362437_13.

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Sibirskaya, Elena V., Lyudmila V. Oveshnikova, Lilia A. Mikheykina, and Innara R. Lyapina. "Introduction to Economic Statistics." In Economic Systems Analysis: Statistical Indicators. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91247-9_1.

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Sibirskaya, Elena V., Lyudmila V. Oveshnikova, Lilia A. Mikheykina, and Innara R. Lyapina. "Statistics of Financial Outcomes of Company Operations." In Economic Systems Analysis: Statistical Indicators. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91247-9_10.

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Sibirskaya, Elena V., Lyudmila V. Oveshnikova, Lilia A. Mikheykina, and Innara R. Lyapina. "Population Statistics." In Economic Systems Analysis: Statistical Indicators. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91247-9_2.

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Sibirskaya, Elena V., Lyudmila V. Oveshnikova, Lilia A. Mikheykina, and Innara R. Lyapina. "Statistics of Living Standards of Population." In Economic Systems Analysis: Statistical Indicators. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91247-9_3.

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Sibirskaya, Elena V., Lyudmila V. Oveshnikova, Lilia A. Mikheykina, and Innara R. Lyapina. "Statistical Study of Labor Force." In Economic Systems Analysis: Statistical Indicators. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91247-9_4.

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Sibirskaya, Elena V., Lyudmila V. Oveshnikova, Lilia A. Mikheykina, and Innara R. Lyapina. "Statistics of Labor and Company Personnel." In Economic Systems Analysis: Statistical Indicators. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91247-9_5.

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Sibirskaya, Elena V., Lyudmila V. Oveshnikova, Lilia A. Mikheykina, and Innara R. Lyapina. "Statistics of Production." In Economic Systems Analysis: Statistical Indicators. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91247-9_7.

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Sibirskaya, Elena V., Lyudmila V. Oveshnikova, Lilia A. Mikheykina, and Innara R. Lyapina. "Statistics of National Wealth." In Economic Systems Analysis: Statistical Indicators. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91247-9_8.

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Konferenzberichte zum Thema "Analysis system of indicators"

Nevezhin, Victor, and Alexandr Bogomolov. "The model of the stock market and the types of resonance effects on its indicators." In System analysis in economics – 2018. Prometheus publishing house, 2018. http://dx.doi.org/10.33278/sae-2018.eng.153-157.

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Odarchenko, Roman, Viktor Gnatyuk, Sergiy Gnatyuk, and Anastasiia Abakumova. "Security Key Indicators Assessment for Modern Cellular Networks." In 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC). IEEE, 2018. http://dx.doi.org/10.1109/saic.2018.8516889.

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Chudasama, Ronak, Sagar Dobariya, Komal Patel, and Hezal Lopes. "DAPS: Dairy analysis and prediction system using technical indicators." In 2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS). IEEE, 2017. http://dx.doi.org/10.1109/ssps.2017.8071587.

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Alekseenko, Mariya, Dmitriy Gander, and Vladimir Filatov. "METHODOLOGY FOR STUDYING FLIGHT STAFF FATIGUE IN THE PROCESS OF SIMULATOR TRAINING." In XIV International Scientific Conference "System Analysis in Medicine". Far Eastern Scientific Center of Physiology and Pathology of Respiration, 2020. http://dx.doi.org/10.12737/conferencearticle_5fe01d9c824a41.95950573.

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The article describes a methodology for studying fatigue of civil aviation flight personnel when performing labor operations on integrated Airbus-320 simulators using a graphical test carried out before and after simulator training. a decrease in stability indicators and switching attention of pilots after simulator training, which indicates the development of pronounced fatigue, is shown.

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Zgurovsky, Michael, Viktor Putrenko, Iryna Dzhygyrey, et al. "Parameterization of Sustainable Development Components Using Nightlight Indicators in Ukraine." In 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC). IEEE, 2018. http://dx.doi.org/10.1109/saic.2018.8516726.

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Lashmanova, N. V., and A. K. Petrova. "Analysis of Indicators of the Integrated System of Personnel Metrics." In 2019 XXII International Conference on Soft Computing and Measurements (SCM). IEEE, 2019. http://dx.doi.org/10.1109/scm.2019.8903705.

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Darwish, Ali, and Emad Bataineh. "Eye tracking analysis of browser security indicators." In 2012 International Conference on Computer Systems and Industrial Informatics (ICCSII). IEEE, 2012. http://dx.doi.org/10.1109/iccsii.2012.6454330.

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Aleksieva, Veneta. "The system of qualitative and quantitative indicators for MPLS networks analysis." In the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing. ACM Press, 2010. http://dx.doi.org/10.1145/1839379.1839427.

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Xie, Cheng, Yuli Wang, Xiang Sun, et al. "Correlation Analysis of Aging Indicators for Distribution Network XLPE Cables." In 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2020. http://dx.doi.org/10.1109/ei250167.2020.9347247.

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Yuepeng, Cui, Zhang Yaping, Ma Yanli, and Feng Yuqin. "Cluster Analysis on Evaluation Indicators of Driver Characteristics." In 2007 IEEE Intelligent Transportation Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/itsc.2007.4357771.

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Berichte der Organisationen zum Thema "Analysis system of indicators"

Tang, CheeYee. Key performance indicators for process control system cybersecurity performance analysis. National Institute of Standards and Technology, 2017. http://dx.doi.org/10.6028/nist.ir.8188.

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Filmer, Deon, Ezequiel Molina, and Waly Wane. Identifying Effective Teachers: Lessons from Four Classroom Observation Tools. Research on Improving Systems of Education (RISE), 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/045.

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Four different classroom observation instruments—from the Service Delivery Indicators, the Stallings Observation System, the Classroom Assessment Scoring System, and the Teach classroom observation instrument—were implemented in about 100 schools across four regions of Tanzania. The research design is such that various combinations of tools were administered to various combinations of teachers, so these data can be used to explore the commonalities and differences in the behaviors and practices captured by each tool, the internal properties of the tools (for example, how stable they are across enumerators, or how various indicators relate to one another), and how variables collected by the various tools compare to each other. Analysis shows that inter-rater reliability can be low, especially for some of the subjective ratings; principal components analysis suggests that lower-level constructs do not map neatly to predetermined higher-level ones and suggest that the data have only a few dimensions. Measures collected during teacher observations are associated with student test scores, but patterns differ for teachers with lower versus higher subject content knowledge.

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Hamill, Daniel, and Gabrielle David. Hydrologic analysis of field delineated ordinary high water marks for rivers and streams. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41681.

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Streamflow influences the distribution and organization of high water marks along rivers and streams in a landscape. The federal definition of ordinary high water mark (OHWM) is defined by physical and vegetative field indicators that are used to identify inundation extents of ordinary high water levels without any reference to the relationship between streamflow and regulatory definition. Streamflow is the amount, or volume, of water that moves through a stream per unit time. This study explores regional characteristics and relationships between field-delineated OHWMs and frequency-magnitude streamflow metrics derived from a flood frequency analysis. The elevation of OHWM is related to representative constant-level discharge return periods with national average return periods of 6.9 years using partial duration series and 2.8 years using annual maximum flood frequency approaches. The range in OHWM return periods is 0.5 to 9.08, and 1.05 to 11.01 years for peaks-over-threshold and annual maximum flood frequency methods, respectively. The range of OHWM return periods is consistent with the range found in national studies of return periods related to bankfull streamflow. Hydraulic models produced a statistically significant relationship between OHWM and bank-full, which reinforces the close relationship between the scientific concept and OHWM in most stream systems.

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Heath, Linda S., Sarah M. Anderson, Marla R. Emery, et al. Indicators of climate impacts for forests: recommendations for the US National Climate Assessment indicators system. U.S. Department of Agriculture, Forest Service, Northern Research Station, 2015. http://dx.doi.org/10.2737/nrs-gtr-155.

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Zeng, Cong, Jianqin Cao, Xiaoyan Yang, and Ci Li. Electrophysiological indicators predict treatment response in anxiety：a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2020. http://dx.doi.org/10.37766/inplasy2020.5.0040.

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Boccio, J., W. Vesely, M. Azarm, J. Carbonaro, J. Usher, and N. Oden. Validation of risk-based performance indicators: Safety system function trends. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5455881.

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Zimmerman, Timothy A. Metrics and key performance indicators for robotic cybersecurity performance analysis. National Institute of Standards and Technology, 2017. http://dx.doi.org/10.6028/nist.ir.8177.

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Hass, Julie L., and Viveka Palm. Using the right environmental indicators: Tracking progress, raising awareness and supporting analysis. Nordic Council of Ministers, 2013. http://dx.doi.org/10.6027/tn2012-535.

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Gartner, Dave. Use of ancillary data to improve the analysis of forest health indicators. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2013. http://dx.doi.org/10.2737/srs-gtr-179.

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