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Journal articles on the topic 'Statistics as Topic – methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Hendrawan, Muhammad Yunus, and Nucke Widowati Kusumo Projo. "Topic Modelling in Knowledge Management Documents BPS Statistics Indonesia." Proceedings of The International Conference on Data Science and Official Statistics 2021, no. 1 (2022): 119–30. http://dx.doi.org/10.34123/icdsos.v2021i1.52.

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Knowledge management is an important activity in improving the performance an organization. BPS Statistics Indonesia has recently implemented such a system to improve the quality and efficiency of business processes. The purposes of this research are: 1) implementing topic modelling on BPS Knowledge Management System to identify groups of document topics; 2) providing recommendations on which the best topic modelling; 3) building a web service function of topic modelling for BPS that includes data preprocessing function and topic group recommendation function. This study applies the Latent Sem

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Gurung, Regan A. R., and Rosalyn Stoa. "A National Survey of Teaching and Learning Research Methods: Important Concepts and Faculty and Student Perspectives." Teaching of Psychology 47, no. 2 (2020): 111–20. http://dx.doi.org/10.1177/0098628320901374.

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In this study, we assessed instructor and student attitudes and knowledge toward research methods (RM). Instructors ( N = 62) answered questions about course format, topic importance, and resources. Students ( N = 166) of some of those instructors answered questions regarding attitudes toward research. Five major factors organize topics that instructors find most important. Only ratings of statistics importance varied by rank. Associate and full professors rated statistics as being more important than other instructors. There were significant relationships between attitudes toward and knowledg

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Carvalho, André Mundstock Xavier de, Fabrícia Queiroz Mendes, Pedro Henrique de Castro Borges, and Matthew Kramer. "A brief review of the classic methods of experimental statistics." Acta Scientiarum. Agronomy 45 (November 22, 2022): e56882. http://dx.doi.org/10.4025/actasciagron.v45i1.56882.

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Experimental statistics are a key element for innovation in the agricultural sector. Commonly used statistical methods in experimentation are relatively simple, reliable, and widely used. However, the many problems in the quality of statistical analyses reported in the agricultural science literature highlight a need for continuing discussion on and updating of this topic. This article reviews critical points about classic linear models procedures commonly used in agricultural statistics, frequent procedures in publications in the agricultural sciences. Due to the evolution of statistical scie

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Badamjav, Gundegmaa, та Youngju Jeon. "몽골 중등학생의 통계 주제에 대한 태도조사". Korean School Mathematics Society 25, № 1 (2022): 1–17. http://dx.doi.org/10.30807/ksms.2022.25.1.001.

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The goal of this study was to analyze students' views about statistical themes in Mongolian secondary schools in Ulaanbaatar. To this end, 129 9th grade students were stratified random sampling at two secondary schools in Ulaanbaatar, Mongolia, and a survey was conducted on them. The attitude survey focused on six factors contributing to the attitude: affective, cognitive competency, value, difficulty, interest, and student effort. The results show that students believed their statistical knowledge and skills have increased compared to the beginning of the courses. Furthermore, the survey reve

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Guo, Feng. "Statistical Methods for Naturalistic Driving Studies." Annual Review of Statistics and Its Application 6, no. 1 (2019): 309–28. http://dx.doi.org/10.1146/annurev-statistics-030718-105153.

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The naturalistic driving study (NDS) is an innovative research method characterized by the continuous recording of driving information using advanced instrumentation under real-world driving conditions. NDSs provide opportunities to assess driving risks that are difficult to evaluate using traditional crash database or experimental methods. NDS findings have profound impacts on driving safety research, safety countermeasures development, and public policy. NDSs also come with attendant challenges to statistical analysis, however, due to the sheer volume of data collected, complex structure, an

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Wang, Kai, and Fuzhi Wang. "Topic-Feature Lattices Construction and Visualization for Dynamic Topic Number." Journal of Systems Science and Information 9, no. 5 (2021): 558–74. http://dx.doi.org/10.21078/jssi-2021-558-17.

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Abstract The topic recognition for dynamic topic number can realize the dynamic update of super parameters, and obtain the probability distribution of dynamic topics in time dimension, which helps to clear the understanding and tracking of convection text data. However, the current topic recognition model tends to be based on a fixed number of topics K and lacks multi-granularity analysis of subject knowledge. Therefore, it is impossible to deeply perceive the dynamic change of the topic in the time series. By introducing a novel approach on the basis of Infinite Latent Dirichlet allocation mo

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Serão, Nick V., Amy L. Petry, and Leticia P. Sanglard. "PSX-41 Late-Breaking Abstract: Self-reported statistical training of graduate students associated with confidence in performing statistical analyses." Journal of Animal Science 98, Supplement_4 (2020): 358. http://dx.doi.org/10.1093/jas/skaa278.627.

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Abstract Training in statistical analysis is essential to Animal Science graduate student curricula. Recently, with the increased use of high-throughput technologies in Animal Science fields, graduate students need certain statistical competencies to manage and analyze so-called “Big Data.” The objective of this study was to identify the current statistical competencies associated with graduate students’ perceived confidence to perform statistical analyses. Data from a comprehensive survey of students enrolled in Animal Science-related graduate programs (n = 354; 125 M.S. and 229 Ph.D. student

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Borkhsenius, Alexandra V. "Infodemia: Concept, Social and Political Consequences, Methods of Managing." RUDN Journal of Public Administration 8, no. 1 (2021): 52–58. http://dx.doi.org/10.22363/2312-8313-2021-8-1-52-58.

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The article is devoted to the consideration of the infodemia phenomenon as a result of massive fakes injections associated with the 2019-nCoV pandemic. Author analyzes the global social and political consequences of disinformation in social networks and messengers on the topic of health, official health statistics and government methods to combat the spread of the virus. There is a decrease in trust to government authorities and official information sources and also an increase in the popularity of conspiracy narratives. Author identifies methods to deal with infodemia and analyzes their effec

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Park, Eunhye, and Woo-Hyuk Kim. "A Retrospective Literature Review of Eating Disorder Research (1990–2021): Application of Bibliometrics and Topical Trends." International Journal of Environmental Research and Public Health 19, no. 13 (2022): 7710. http://dx.doi.org/10.3390/ijerph19137710.

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Despite the growing importance of eating disorders in society and academic literature, only a few bibliometric review studies using bibliometric analysis were available. Hence, this study aimed to explore and uncover hidden research topics and patterns in articles in terms of eating disorders over the last 30 years. In total, 4111 articles on eating disorders were analyzed using bibliometrics, network analyses, and structural topic modeling as the basis of mixed methods. In addition to general statistics about the journal, several key research topics, such as eating disorder (ED) treatment, ED

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You, Yong, and Mike Hidiroglou. "Application of Sampling Variance Smoothing Methods for Small Area Proportion Estimation." Journal of Official Statistics 39, no. 4 (2023): 571–90. http://dx.doi.org/10.2478/jos-2023-0026.

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Abstract Sampling variance smoothing is an important topic in small area estimation. In this article, we propose sampling variance smoothing methods for small area proportion estimation. In particular, we consider the generalized variance function and design effect methods for sampling variance smoothing. We evaluate and compare the smoothed sampling variances and small area estimates based on the smoothed variance estimates through analysis of survey data from Statistics Canada. The results from real data analysis and simulation study indicate that the proposed sampling variance smoothing met

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Xiong, Deyi, and Min Zhang. "A Topic-Based Coherence Model for Statistical Machine Translation." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 977–83. http://dx.doi.org/10.1609/aaai.v27i1.8566.

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Coherence that ties sentences of a text into a meaningfully connected structure is of great importance to text generation and translation. In this paper, we propose a topic-based coherence model to produce coherence for document translation, in terms of the continuity of sentence topics in a text. We automatically extract a coherence chain for each source text to be translated. Based on the extracted source coherence chain, we adopt a maximum entropy classifier to predict the target coherence chain that defines a linear topic structure for the target document. The proposed topic-based coherenc

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Min, Jin-Young, Sung-Hee Song, HyeJin Kim, and Kyoung-Bok Min. "Mining Hidden Knowledge About Illegal Compensation for Occupational Injury: Topic Model Approach." JMIR Medical Informatics 7, no. 3 (2019): e14763. http://dx.doi.org/10.2196/14763.

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Background Although injured employees are legally covered by workers’ compensation insurance in South Korea, some employers make agreements to prevent the injured employees from claiming their compensation. Thus, this leads to underreporting of occupational injury statistics. Illegal compensation (called gong-sang in Korean) is a critical method used to underreport or cover-up occupational injuries. However, gong-sang is not counted in the official occupational injury statistics; therefore, we cannot identify gong-sang–related issues. Objective This study aimed to analyze social media data usi

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Gempesaw, Conrado M. "Nonparametric Analysis of Production Efficiency: Discussion." Northeastern Journal of Agricultural and Resource Economics 21, no. 2 (1992): 121–24. http://dx.doi.org/10.1017/s0899367x00002634.

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When I was invited to be a discussant in this session dealing with nonparametric analysis of production and consumption, my initial response was rather mixed. On one hand, I teach a graduate-level course in applied statistics, and one of the topics I cover is nonparametric statistics and its application to the biological sciences. Hence, I thought it would be interesting to relate what I cover in class with what is used in applied agricultural production economics research. On the other hand, I am not familiar with this approach since I have not used the nonparametric programming method for ef

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KRASNOZHON, O., N. KRAVCHENKO, V. MATSIUK, and V. KOVALENKO. "ELEMENTS OF COMPUTER SUPPORT FOR THE STUDY OF THE TOPIC «LEAST SQUARES METHOD»." Scientific papers of Berdiansk State Pedagogical University Series Pedagogical sciences 1, no. 2 (2022): 204–13. http://dx.doi.org/10.31494/2412-9208-2022-1-2-204-213.

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The article contains a study of the methodological problem of developing the components of an effective computer-oriented methodological system for teaching the discipline «Theory of Probability with Elements of Mathematical Statistics», which is provided for in the training plan for future teachers of mathematics. The methodical and procedural issues of implementing the method of least squares to determine the functional dependence between the characteristics of the sample of the general population in the mathematical software environment Mathcad are considered. Examples of solving problems o

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Strasser, Sandra E., and Ceyhun Ozgur. "Undergraduate Business Statistics: A Survey of Topics and Teaching Methods." Interfaces 25, no. 3 (1995): 95–103. http://dx.doi.org/10.1287/inte.25.3.95.

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Et. al., K. J. Rustamov,. "Innovative Approaches and Methods in Teaching Technical Subjects." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (2021): 1861–66. http://dx.doi.org/10.17762/turcomat.v12i5.2263.

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: Relevance. In the learning process, it is necessary to pay attention, first of all, to those methods in which listeners identify themselves with the educational material, are included in the studied situation, are encouraged to take active actions, experience a state of success and accordingly motivate their behavior. Aim. The purpose of our experimental study was to determine the possibility and effectiveness of using active and interactive forms in teaching technical disciplines. Methods. Scientific methods were applied such as working with documents, comparative analysis, lite

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Shahbazi, Zeinab, and Yung-Cheol Byun. "Topic prediction and knowledge discovery based on integrated topic modeling and deep neural networks approaches." Journal of Intelligent & Fuzzy Systems 41, no. 1 (2021): 2441–57. http://dx.doi.org/10.3233/jifs-202545.

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Understanding the real-world short texts become an essential task in the recent research area. The document deduction analysis and latent coherent topic named as the important aspect of this process. Latent Dirichlet Allocation (LDA) and Probabilistic Latent Semantic Analysis (PLSA) are suggested to model huge information and documents. This type of contexts’ main problem is the information limitation, words relationship, sparsity, and knowledge extraction. The knowledge discovery and machine learning techniques integrated with topic modeling were proposed to overcome this issue. The knowledge

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Page, Robert, and Eiki Satake. "Beyond P values and Hypothesis Testing: Using the Minimum Bayes Factor to Teach Statistical Inference in Undergraduate Introductory Statistics Courses." Journal of Education and Learning 6, no. 4 (2017): 254. http://dx.doi.org/10.5539/jel.v6n4p254.

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While interest in Bayesian statistics has been growing in statistics education, the treatment of the topic is still inadequate in both textbooks and the classroom. Because so many fields of study lead to careers that involve a decision-making process requiring an understanding of Bayesian methods, it is becoming increasingly clear that Bayesian methods should be included in classes that cover the P value and Hypothesis Testing. We discuss several fallacies associated with the P value and Hypothesis Testing, including why Fisher’s P value and Neyman-Pearson’s Hypothesis Tests are incompatible w

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Sullivan, Stephanie G. B., Kathryn T. Hoiriis, and Lucia Paolucci. "Description of a change in teaching methods and comparison of quizzes versus midterms scores in a research methods course." Journal of Chiropractic Education 32, no. 2 (2018): 84–89. http://dx.doi.org/10.7899/jce-17-20.

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Objective: We describe a change in teaching method from extended face-to-face instruction to a blended classroom environment in a research methods course and compare student scores following a change in assessment from mid-term examination to weekly quizzes. Methods: The course traditionally had been taught using a weekly 2-hour lecture for each academic term. A change in teaching methods was designed to include 20 minutes of lecture followed by 30 minutes of topic-specific in-class group discussions. The students then continued group work for an additional hour at an alternative location of t

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Lynch, Scott M., and Bryce Bartlett. "Bayesian Statistics in Sociology: Past, Present, and Future." Annual Review of Sociology 45, no. 1 (2019): 47–68. http://dx.doi.org/10.1146/annurev-soc-073018-022457.

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Although Bayes’ theorem has been around for more than 250 years, widespread application of the Bayesian approach only began in statistics in 1990. By 2000, Bayesian statistics had made considerable headway into social science, but even now its direct use is rare in articles in top sociology journals, perhaps because of a lack of knowledge about the topic. In this review, we provide an overview of the key ideas and terminology of Bayesian statistics, and we discuss articles in the top journals that have used or developed Bayesian methods over the last decade. In this process, we elucidate some

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Stone, Anna, Claire Meade, and Rosamond Watling. "Peer-assisted learning in research methods and statistics." Psychology Teaching Review 18, no. 2 (2012): 68–73. http://dx.doi.org/10.53841/bpsptr.2012.18.2.68.

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Feedback from students on a Level 1 Research Methods and Statistics module, studied as a core part of a BSc Psychology programme, highlighted demand for additional tutorials to help them to understand basic concepts. Students intheir final year of study commonly request work experience to enhance their employability.All students on the Level 1 Research Methods and Statistics module were invited to sign up for PAL (Peer Assisted Learning) sessions which offered interactive learning under the guidance of a PAL Student–Facilitator. Five students at undergraduate Level 3 and Masters level were rec

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Muresan, Cristina I., Isabela Birs, Clara Ionescu, Eva H. Dulf, and Robin De Keyser. "A Review of Recent Developments in Autotuning Methods for Fractional-Order Controllers." Fractal and Fractional 6, no. 1 (2022): 37. http://dx.doi.org/10.3390/fractalfract6010037.

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The scientific community has recently seen a fast-growing number of publications tackling the topic of fractional-order controllers in general, with a focus on the fractional order PID. Several versions of this controller have been proposed, including different tuning methods and implementation possibilities. Quite a few recent papers discuss the practical use of such controllers. However, the industrial acceptance of these controllers is still far from being reached. Autotuning methods for such fractional order PIDs could possibly make them more appealing to industrial applications, as well.

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White, Nicole M., Thirunavukarasu Balasubramaniam, Richi Nayak, and Adrian G. Barnett. "An observational analysis of the trope “A p-value of < 0.05 was considered statistically significant” and other cut-and-paste statistical methods." PLOS ONE 17, no. 3 (2022): e0264360. http://dx.doi.org/10.1371/journal.pone.0264360.

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Appropriate descriptions of statistical methods are essential for evaluating research quality and reproducibility. Despite continued efforts to improve reporting in publications, inadequate descriptions of statistical methods persist. At times, reading statistical methods sections can conjure feelings of dèjá vu, with content resembling cut-and-pasted or “boilerplate text” from already published work. Instances of boilerplate text suggest a mechanistic approach to statistical analysis, where the same default methods are being used and described using standardized text. To investigate the exten

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Cai, Li, and Mark Hansen. "Improving Educational Assessment: Multivariate Statistical Methods." Policy Insights from the Behavioral and Brain Sciences 5, no. 1 (2017): 19–24. http://dx.doi.org/10.1177/2372732217747006.

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This review presents two case studies that illustrate how multivariate statistical modeling applies to the specific goal of improving educational assessment. The first case study involves the development of a new large-scale English language proficiency assessment system (called the English Language Proficiency Assessment for the 21st Century; ELPA21). The second application concerns efforts to quantify student progress in learning using conditional growth models, a topic of current debate about assessment policy. A popular measure, Student Growth Percentile (SGP), is explored through the lens

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Kumar, R. Sathish, and M. Chandrasekaran. "Inducing and Refining Topics for Web Query Classification Using a Semantic Network." Journal of Computational and Theoretical Nanoscience 15, no. 2 (2018): 595–600. http://dx.doi.org/10.1166/jctn.2018.7127.

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Web query classification, the task of inferring topical categories from a web search query is a non-trivial problem in Information Retrieval domain. The topic categories inferred by a Web query classification system may provide a rich set of features for improving query expansion and web advertising. Conventional methods for Web query classification derive corpus statistics from the web and employ machine-learning techniques to infer Open Directory Project categories. But they suffer from two major drawbacks, the computational overhead to derive corpus statistics and inferring topic categories

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Lüdering, Jochen, and Peter Winker. "Forward or Backward Looking? The Economic Discourse and the Observed Reality." Jahrbücher für Nationalökonomie und Statistik 236, no. 4 (2016): 483–515. http://dx.doi.org/10.1515/jbnst-2015-1026.

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Abstract Is academic research anticipating economic shake-ups or merely reflecting the past? Exploiting the corpus of articles published in the Journal of Economics and Statistics (Jahrbücher für Nationalökonomie und Statistik) for the years 1949 to 2010, this pilot study proposes a quantitative framework for addressing these questions. The framework comprises two steps. First, methods from computational linguistics are used to identify relevant topics and their relative importance over time. In particular, Latent Dirichlet Analysis is applied to the corpus after some preparatory work. Second,

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Zouhair, Ahmed, and Ryan Lunsford. "Impact of Migrant Populations on National Wellbeing: A Mixed Methods Approach." Business and Economic Research 8, no. 4 (2018): 13. http://dx.doi.org/10.5296/ber.v8i4.13567.

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The topic of human happiness is important to economic policy because life satisfaction (wellbeing) should be one of the main goals of national and international policymakers (Becchetti, Trovato, and Londono Bedoya (2011). The Human Development Index (HDI) is a tool the United Nations (UN) uses to measure and rank the social and economic development levels of countries (United Nations Development Programme (UNDP), 2016). It targets four main areas: average number of years of education, expected years of education, life expectancy at birth, and gross national income per capita. However, it does

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Shklyarskiy, Yaroslav, Iuliia Andreeva, Tole Sutikno, and Mohd Hatta Jopri. "Energy management in hybrid complexes based on wind generation and hydrogen storage." Bulletin of Electrical Engineering and Informatics 13, no. 3 (2024): 1483–94. http://dx.doi.org/10.11591/eei.v13i3.6757.

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This work is devoted to the analysis of scientific articles in the field of hybrid energy complexes based on hydrogen technologies and renewable energy sources. A special attention is given to wind generation. The review of the topics of scientific publications indexed in the Scopus database in the field of research is carried out, the most frequently encountered topics and the rarest ones are highlighted. Brief statistics about publications selected for detailed analysis are given. The most interesting direction for studying is development of control systems for hybrid energy complexes. Sever

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Kutasi, Dávid, and Milán Csaba Badics. "Valuation methods for the housing market: Evidence from Budapest." Acta Oeconomica 66, no. 3 (2016): 527–46. http://dx.doi.org/10.1556/032.2016.66.3.8.

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Different valuation methods and determinants of housing prices in Budapest, Hungary are examined in this paper in order to describe price drivers by using an asking price dataset. The hedonic regression analysis and the valuation method of the artificial neural network are utilised and compared using both technical and spatial variables. In our analyses, we conclude that according to our sample from the Budapest real estate market, the Multi-Layer Preceptron (MLP) neural network is a better alternative for market price prediction than hedonic regression in all observed cases. To our knowledge,

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De Bonis, Michele, Fabrizio Falchi, and Paolo Manghi. "Graph-based methods for Author Name Disambiguation: a survey." PeerJ Computer Science 9 (September 11, 2023): e1536. http://dx.doi.org/10.7717/peerj-cs.1536.

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Scholarly knowledge graphs (SKG) are knowledge graphs representing research-related information, powering discovery and statistics about research impact and trends. Author name disambiguation (AND) is required to produce high-quality SKGs, as a disambiguated set of authors is fundamental to ensure a coherent view of researchers’ activity. Various issues, such as homonymy, scarcity of contextual information, and cardinality of the SKG, make simple name string matching insufficient or computationally complex. Many AND deep learning methods have been developed, and interesting surveys exist in th

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Andrienko, Natalia, and Gennady Andrienko. "Visual analytics of movement: An overview of methods, tools and procedures." Information Visualization 12, no. 1 (2012): 3–24. http://dx.doi.org/10.1177/1473871612457601.

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Analysis of movement is currently a hot research topic in visual analytics. A wide variety of methods and tools for analysis of movement data has been developed in recent years. They allow analysts to look at the data from different perspectives and fulfil diverse analytical tasks. Visual displays and interactive techniques are often combined with computational processing, which, in particular, enables analysis of a larger number of data than would be possible with purely visual methods. Visual analytics leverages methods and tools developed in other areas related to data analytics, particular

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Chernova, Elena. "World trade in textiles." International Relations Plus, no. 2(22) (July 2023): 139–44. http://dx.doi.org/10.52327/1857-4440.2022.2(22).14.

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The article explores the topic of world trade in textiles. The author, based on WTO statistics for 2017-2021, studied the dynamics of world trade, compiled tables, charts that reveal the true state of world textile trade for the period 2017-2021, examined and analyzed the share of each country in world exports and imports textiles. The study used analytical methods.

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Orazbekova, F. A., and N. O. Moldashov. "INFLUENCE OF MODERN LABOR MARKET TRENDS ON INDUSTRIAL ENTERPRISES IN THE REPUBLIC OF KAZAKHSTAN." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 8/4, no. 139 (2023): 77–86. http://dx.doi.org/10.36871/ek.up.p.r.2023.08.04.010.

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In the article, the authors presented an overview of global trends (technologies, people and skills) influencing the labour market in the Republic of Kazakhstan. The purpose of the study is to analyse the impact of current trends in the labour market on industrial enterprises in the Republic of Kazakhstan. This study aims to identify the critical factors of changes in the requirements for human resources, as well as analyse the adaptation strategies of industrial enterprises to new labour market conditions. To achieve this goal, the article uses both qualitative and quantitative research metho

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Starostenko, O. A. "NATURE AND METHODS OF COMMITTING FRAUD USING INFORMATION-TELECOMMUNICATION TECHNOLOGIES." Bulletin of Udmurt University. Series Economics and Law 30, no. 4 (2020): 576–82. http://dx.doi.org/10.35634/2412-9593-2020-30-4-576-582.

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The article is devoted to the consideration of issues relating to the nature and methods of committing fraud using information and telecommunication technologies. The article considers and analyzes official statistics of crimes on the global Internet for 2019, as well as material damage caused by these crimes. The concept of a method of fraud is disclosed and its most important role in the characteristics of Internet fraud is determined. Particular attention is paid to the most popular methods of committing the crime in question, such as: phishing, Nigerian letters, creating a personal busines

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Ayala Durán, Carlos, and Daniela Garcez Wives. "Decision Making and Agriculture: A Recent Review of Organic Farming." Desenvolvimento em Questão 16, no. 43 (2018): 175. http://dx.doi.org/10.21527/2237-6453.2018.43.175-199.

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This paper presents a review of recent literature covering decision-making and organic farming. Given that this topic has not been widely researched, both the Science-Direct and SCIELO databases were used to search for studies within the 2005-2015 period. A total of eighteen documents were found and used for this paper. Special attention has been given to the methodology used in the studies separating them between general analysis and descriptive statistics in one hand and inferential statistics /mathematical methods in the other. The paper concludes with a few considerations that may be usefu

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Chatla, Suneel Babu, Chun-Houh Chen, and Galit Shmueli. "Selected topics in statistical computing." Encyclopedia with Semantic Computing and Robotic Intelligence 01, no. 01 (2017): 1630013. http://dx.doi.org/10.1142/s2425038416300135.

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The field of computational statistics refers to statistical methods or tools that are computationally intensive. Due to the recent advances in computing power, some of these methods have become prominent and central to modern data analysis. In this paper, we focus on several of the main methods including density estimation, kernel smoothing, smoothing splines, and additive models. While the field of computational statistics includes many more methods, this paper serves as a brief introduction to selected popular topics.

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Soo-Cheng Chuah, Zarina binti Denan, and JS Keshminder Singh. "Applying Project-Based Learning In Teaching Statistical Methods." Insight Journal 7 (March 3, 2021): 41–53. http://dx.doi.org/10.24191/ij.v7i0.86.

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 Teaching and learning processes can be effectively improved when the learning activities encounter an individual’s experience and interaction with their surrounding environments. Such interaction is highly significant throughout the learning process due to its role in enabling student participation and learning knowledge integration. This paper presents the option of teaching pedagogy for statistics teaching via project-based learning. This teaching method conduces cognitive development during the learning process by fostering active learning as it implements the application as opposed

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Soo-Cheng Chuah, Zarina Denan, and JS Keshminder Singh. "Applying Project-Based Learning In Teaching Statistical Methods." Insight Journal 7, no. 1 (2020): 41–53. http://dx.doi.org/10.24191/ij.v7i1.61.

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Teaching and learning processes can be effectively improved when the learning activities encounter an individual’s experience and interaction with their surrounding environments. Such interaction is highly significant throughout the learning process due to its role in enabling student participation and learning knowledge integration. This paper presents the option of teaching pedagogy for statistics teaching via project-based learning. This teaching method conduces cognitive development during the learning process by fostering active learning as it implements the application as opposed to the

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Gou, Zhinan, and Yan Li. "A method of query expansion based on topic models and user profile for search in folksonomy." Journal of Intelligent & Fuzzy Systems 41, no. 1 (2021): 1701–11. http://dx.doi.org/10.3233/jifs-210508.

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With the development of the web 2.0 communities, information retrieval has been widely applied based on the collaborative tagging system. However, a user issues a query that is often a brief query with only one or two keywords, which leads to a series of problems like inaccurate query words, information overload and information disorientation. The query expansion addresses this issue by reformulating each search query with additional words. By analyzing the limitation of existing query expansion methods in folksonomy, this paper proposes a novel query expansion method, based on user profile an

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Flure, Leia, Melissa Pflugh Prescott, Whitney Ajie, Trinity Allison, and Jennifer McCaffrey. "Training Preferences of School Food Service Staff Vary by Role in the School Nutrition Program." International Journal of Environmental Research and Public Health 18, no. 1 (2020): 50. http://dx.doi.org/10.3390/ijerph18010050.

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Professional development has been identified as a critical component for school nutrition professionals (SNPs) to successfully implement school meal standards in the United States. However, training needs may vary based on different factors. This study examined (1) the topics of highest priority for SNPs; (2) preferred learning methods; (3) where and when trainings should be conducted; and (4) whether responses differ according to important factors including position type, school locale (urban vs. rural), or job experience. Participants completed surveys that included questions on demographics

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Tak, Nihat, Erol Egrioglu, Eren Bas, and Ufuk Yolcu. "An adaptive forecast combination approach based on meta intuitionistic fuzzy functions." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 9567–81. http://dx.doi.org/10.3233/jifs-202021.

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Intuitionistic meta fuzzy forecast combination functions are introduced in the paper. There are two challenges in the forecast combination literature, determining the optimum weights and the methods to combine. Although there are a few studies on determining the methods, there are numerous studies on determining the optimum weights of the forecasting methods. In this sense, the questions like “What methods should we choose in the combination?” and “What combination function or the weights should we choose for the methods” are handled in the proposed method. Thus, the first two contributions th

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Giesbrecht, N., Y. Sell, C. Scialfa, L. Sandals, and P. Ehlers. "Essential Topics in Introductory Statistics and Methodology Courses." Teaching of Psychology 24, no. 4 (1997): 242–46. http://dx.doi.org/10.1207/s15328023top2404_2.

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The purpose of this research is to assess interdisciplinary agreement about the content of an introductory course in statistics and research methods. We compiled a set of methodological and statistical topics from relevant research, introductory textbooks, and course descriptions. Eighteen professors in the natural sciences, social sciences, and education assessed the importance of these topics for a hypothetical introductory statistics and research methods course. Results indicate agreement across disciplines on the relative importance of 97% of the statistical topics, with 75% of these topic

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Özmen, Zeynep Medine, and Adnan Baki. "Statistics Instructors' Perceptions of Statistics Literacy in Different Undergraduate Programs." International Journal of Research in Education and Science 7, no. 3 (2021): 852–71. http://dx.doi.org/10.46328/ijres.1817.

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The present study aimed to investigate the statistical literacy perceptions of instructors who teach undergraduate statistics courses in different disciplines. Instructors were asked questions on their statistical literacy definitions, organization of the course content, topics emphasized or avoided by instructors in teaching statistics, and instructors post-course expectations from their students. Qualitative data gathered from interviews were analyzed and categorized under five main themes. The instructors' ultimate expectations from the students and the topics they emphasized during the cou

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Kwon, Kyoung-In, and Sung-mi Shin. "Analysis of YouTube comments related to ‘self-harm’ using topic modeling." Korean Association For Learner-Centered Curriculum And Instruction 23, no. 16 (2023): 449–66. http://dx.doi.org/10.22251/jlcci.2023.23.16.449.

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Objectives In this study, YouTube video comments were collected and analyzed to confirm the impact of YouTube related to “self-harm” on those who do not self-harm and to find effective ways to help those who do self-harm. Methods To this end, comments on the top nine videos derived by searching for the keyword “self-harm” on YouTube were collected, and 10 topics were derived by topic modeling comments from users who did not seem to have self-harm experience. Topic modeling is an analysis method that finds hidden topics based on statistics that analyze big data. Results The topics o

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Vasudevan, Senthilvel. "Usage of Statistics tools in the area of Pharmacological research." International Journal of Medical Sciences and Nursing Research 3, no. 4 (2023): 8–10. http://dx.doi.org/10.55349/ijmsnr.202334810.

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Background: Statistics is a science and it is a tool in biomedical sciences, pharmacology and other sciences. Its tools are very important and powerful in pharmacological research. In this article, I have to discuss about the contribution of statistician/Biostatistician, selection of topic for a study, formation of hypothesis, sample size determination, selection of appropriate statistical tests and fixing the level of significant for a study/research. Methods: Statistics is very much useful to be conduct the hypothesis testing and to make a decision on the experiments in pharmacy/pharmacologi

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Jiang, Jiming, and J. Sunil Rao. "Robust Small Area Estimation: An Overview." Annual Review of Statistics and Its Application 7, no. 1 (2020): 337–60. http://dx.doi.org/10.1146/annurev-statistics-031219-041212.

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A small area typically refers to a subpopulation or domain of interest for which a reliable direct estimate, based only on the domain-specific sample, cannot be produced due to small sample size in the domain. While traditional small area methods and models are widely used nowadays, there have also been much work and interest in robust statistical inference for small area estimation (SAE). We survey this work and provide a comprehensive review here. We begin with a brief review of the traditional SAE methods. We then discuss SAE methods that are developed under weaker assumptions and SAE metho

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Bretz, Frank. "Seventh international French Society of Statistics meeting on statistical methods in biopharmacy: emerging topics for statistical methodology in clinical drug development." Statistics in Medicine 34, no. 22 (2015): 2981–82. http://dx.doi.org/10.1002/sim.6570.

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Inês, Amanda Inácio, Leonardo Flach, and Luísa Karam De Mattos. "Auditor Independence: An Independent Auditor Never Makes “Mistrakes”." Journal of Public Administration and Governance 9, no. 4 (2020): 309. http://dx.doi.org/10.5296/jpag.v9i4.16169.

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This study aims to perform a systematic review of the scientific literature on the topic Independent Audit. The research method of this study was based on descriptive statistics, a sample of 32 full articles published in scientific journals national, and have been published in the period between 2008 to 2019. Accordingly, the results of this study show a summary of scientific literature on the topic Independent Audit and allowed to statistically summarize the state of the art scientific production carried out in recent years on the subject auditor independence. The results show research networ

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Roberts, Kirk, and Sanda M. Harabagiu. "Statistical and Similarity Methods for Classifying Emotion in Suicide Notes." Biomedical Informatics Insights 5s1 (January 2012): BII.S8958. http://dx.doi.org/10.4137/bii.s8958.

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In this paper we report on the approaches that we developed for the 2011 i2b2 Shared Task on Sentiment Analysis of Suicide Notes. We have cast the problem of detecting emotions in suicide notes as a supervised multi-label classification problem. Our classifiers use a variety of features based on (a) lexical indicators, (b) topic scores, and (c) similarity measures. Our best submission has a precision of 0.551, a recall of 0.485, and a F-measure of 0.516.

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Setyaningsih, Rini, and Sri Rejeki. "IMPROVING STUDENT’S LEARNING ACHIEVEMENT ON MATHEMATICS THROUGH COOPERATIVE LEARNING TYPE THINK PAIR SHARE (TPS)." Daya Matematis: Jurnal Inovasi Pendidikan Matematika 7, no. 2 (2019): 219. http://dx.doi.org/10.26858/jds.v7i2.9818.

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This study aims to find out the significant effect of cooperative learning type Think Pair Share (TPS) in improving students’ learning achievement on the subject of elementary statistics. This is a quasi experimental study involving all students who take elementary statistics subject at the Department of Mathematics Education, Universitas Muhammadiyah Surakarta. The subjects of this study were devided into 2 groups, namely the experimental group taught using cooperative learning type Think Pair Share (TPS) and the control group taught using conventional learning. Each group is taught with the

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