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Relevant bibliographies by topics / Statistics as Topic – methods

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Academic literature on the topic 'Statistics as Topic – methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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

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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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Dissertations / Theses on the topic "Statistics as Topic – methods"

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Arbogast, Patrick G. "Statistical methods for case-control studies /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/9598.

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Walls, Frederick George 1976. "Topic detection through statistical methods." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80244.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (p. 77-79).<br>by Frederick George Walls.<br>M.Eng.

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Dinh, Phillip V. "Some methods for the analysis of skewed data /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/9546.

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Forster, Jeri E. "Varying-coefficient models for longitudinal data : piecewise-continuous, flexible, mixed-effects models and methods for analyzing data with nonignorable dropout /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2006.

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Thesis (Ph.D. in Biostatistics) -- University of Colorado at Denver and Health Sciences Center, 2006.<br>Typescript. Includes bibliographical references (leaves 72-75). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;

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Wagner, Brandie D. "Permutation based microarray gene selection methods with covarience adjustment applicable to complex diseases /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in Analytic Health Sciences) -- University of Colorado Denver, 2007.<br>Typescript. Includes bibliographical references (leaves 57-60). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;

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Zhao, Jianhua, and 赵建华. "Some topics in dimension reduction and clustering." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B4284180X.

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Abey, Rebecca. "The statistics of topic modelling." Thesis, University of Canterbury. Mathematics and Statistics, 2015. http://hdl.handle.net/10092/11264.

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This research project aims to provide a clear and concise guide to latent dirichlet allocation which is a form of topic modelling. The aim is to help researchers who do not have a strong background in mathematics or statistics to feel comfortable with using topic modelling in their work. In order to achieve this, the thesis provides a step-by-step explanation of how topic modelling works. A range of tools that can be used to perform a topic model analysis are also described. The first chapter gives an explanation of how topic modelling, and (more specifically), latent dirichlet allocation

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Guo, Wei. "Some topics of statistical methods in gene mapping." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36873688.

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Xia, Fan, and 夏凡. "Some topics on statistical analysis of genetic imprinting data and microbiome compositional data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206673.

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Genetic association study is a useful tool to identify the genetic component that is responsible for a disease. The phenomenon that a certain gene expresses in a parent-of-origin manner is referred to as genomic imprinting. When a gene is imprinted, the performance of the disease-association study will be affected. This thesis presents statistical testing methods developed specially for nuclear family data centering around the genetic association studies incorporating imprinting effects. For qualitative diseases with binary outcomes, a class of TDTI* type tests was proposed in a general two-st

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Hu, Yueqing, and 胡躍清. "Some topics in the statistical analysis of forensic DNA and genetic family data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38831491.

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Books on the topic "Statistics as Topic – methods"

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Snedecor, George Waddel. Statistical methods. 8th ed. Iowa State University Press, 1989.

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T, Spence Janet, ed. Elementary statistics. 5th ed. Prentice Hall, 1990.

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Michael, Longnecker, ed. An introduction to statistical methods and data analysis. 5th ed. Duxbury, 2001.

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Bolton, Sanford. Pharmaceutical statistics: Practical and clinical applications. 5th ed. Informa Healthcare USA, 2009.

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Bolton, Sanford. Pharmaceutical statistics: Practical and clinical applications. 5th ed. Informa Healthcare USA, 2010.

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Morrison, Donald F. Multivariate statistical methods. 3rd ed. McGraw-Hill, 1990.

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N, Hurwitz William, and Madow William G. 1911-, eds. Sample survey methods and theory. Wiley, 1993.

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Runyon, Richard P. Fundamentals of behavioral statistics. 9th ed. McGraw-Hill, 2000.

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J, Holčík, ed. Statistická metodologie v lékařském výzkumu. Lékařská fakulta Univerzity J.E. Purkyně, 1990.

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B, Wallnau Larry, ed. Statistics for the behavioral sciences. 9th ed. Wadsworth Cengage Learning, 2013.

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Book chapters on the topic "Statistics as Topic – methods"

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Kolassa, John E. "Other Topics." In Series Approximation Methods in Statistics. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4757-4275-6_9.

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Kolassa, John E. "Other Topics." In Series Approximation Methods in Statistics. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-4277-0_9.

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Stigler, Stephen M. "Ellis on Mathematical Statistics and Probability." In Studies in History and Philosophy of Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85258-0_5.

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AbstractRobert Leslie Ellis’s work in mathematical statistics and probability can be conveniently grouped under three headings: (1) his 1844 critique of the justifications of the method of least squares, (2) his short 1842 paper on the foundations of probability (with a brief follow-up in 1854), and (3) his return to least squares in 1850. The first of these was a brilliant dissection of two major and one minor derivation of least squares, each under different sets of assumptions. It was the most cited and admired of his mathematical works during his lifetime, and indeed in the nineteenth century. The second was not influential in the 19th century, but it may be the most cited of his works in the twentieth century, when, after the contributions of John Venn (1834–1923), it caught the eyes of a number of philosophers as a partial anticipation of Venn. The third, his return to the topic of 1844, after an 1850 review by John F.W. Herschel (1792–1871) had added a new wrinkle to an old topic, may have been less successful, but it still sheds new light on his understanding. I propose to treat these three topics in that order, with the emphasis being on a brief summary of the issues and a critique of how they may be thought of in the light of current historical understanding. Regarding the third, I will also present a previously unpublished letter from Ellis on the topic.

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Chen, Yunxiao, and Siliang Zhang. "Estimation Methods for Item Factor Analysis: An Overview." In Emerging Topics in Statistics and Biostatistics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72437-5_15.

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Shen, Lei, Hollins Showalter, Chakib Battioui, and Brian Denton. "Subgroup Identification for Tailored Therapies: Methods and Consistent Evaluation." In Emerging Topics in Statistics and Biostatistics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40105-4_8.

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Chen, Yuan, Ying Liu, Donglin Zeng, and Yuanjia Wang. "Statistical Learning Methods for Optimizing Dynamic Treatment Regimes in Subgroup Identification." In Emerging Topics in Statistics and Biostatistics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40105-4_13.

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Zhang, Jingyi, Wenxuan Zhong, and Ping Ma. "A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research." In Emerging Topics in Statistics and Biostatistics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72437-5_13.

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Aljandali, Abdulkader. "Other Useful Topics in Regression." In Multivariate Methods and Forecasting with IBM® SPSS® Statistics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56481-4_2.

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Shaw, Raymond J. "Using and conducting aging research in experimental methods and statistics courses." In Integrating aging topics into psychology: A practical guide for teaching. American Psychological Association, 2003. http://dx.doi.org/10.1037/10513-004.

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Salgado Kent, Chandra, Tiago A. Marques, and Danielle Harris. "Fundamental Data Analysis Tools and Concepts for Bioacoustical Research." In Exploring Animal Behavior Through Sound: Volume 1. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97540-1_9.

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AbstractBioacoustics is a growing field of research in which sound is measured to gain knowledge about species’ natural history and their environments. For example, bioacousticians have been able to create phylogenies, identify populations, and estimate abundance using sound. Moreover, today, many animals are exposed to human-generated noise, which can impact animals’ behavior, ability to communicate, physiology, hearing, and, in some instances, survival. Bioacoustics, thus, is commonly used to assess and predict the impacts of anthropogenic noise on animals and their populations. The use of bioacoustics to address such research questions, however, is only effective provided the quantitative and statistical analysis methods used are adequate and reliable. While it may not be reasonable to expect a single researcher working in bioacoustics to master all three fields required in bioacoustical research (i.e., biology, acoustics, and statistics), bioacousticians should understand basic statistical concepts, have good knowledge of existing techniques for data analysis, and identify possible pitfalls in survey design. In addition, bioacousticians should be able to conduct a range of current standard analyses, produce informative visualizations, and know when to engage a statistician to perform more sophisticated analyses. This chapter introduces common terms, concepts, and statistical methods available to analyze bioacoustical data. Not surprisingly, most are concepts and methods that could be used for any applied research topic, not necessarily just bioacoustics. The authors’ aim is for this chapter to expose users with no or limited experience in quantitative methods in bioacoustics to key analytical considerations for making valid inferences from acoustic data.

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Conference papers on the topic "Statistics as Topic – methods"

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Saville, David. "A hands-on, interactive method of teaching statistics to agricultural researchers." In Training Researchers in the Use if Statistics. International Association for Statistical Education, 2000. http://dx.doi.org/10.52041/srap.00302.

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In this paper, I focus on two topics. The first topic is several day-long workshops, which I run annually for agricultural researchers. These cover the “linear model” methods, based upon the normal distribution, which are very commonly used by agricultural researchers. These methods are analysis of variance, regression and analysis of covariance. I describe the manner in which these workshops are run, cover the content of the workshops, describe the course evaluations, speculate upon why the workshops have proven to be popular, and attempt to draw conclusions. The second topic is a method of t

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Dharanipragada, Satya, Martin Franz, J. Scott McCarley, et al. "Statistical methods for topic segmentation." In 6th International Conference on Spoken Language Processing (ICSLP 2000). ISCA, 2000. http://dx.doi.org/10.21437/icslp.2000-128.

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Chan, Jasmine. "Analysis of variance and its applications in Macau educational resarches." In Statistics education for Progress: Youth and Official Statistics. International Association for Statistical Education, 2013. http://dx.doi.org/10.52041/srap.13302.

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In 2012, Macau government approved and passed the “System Framework for Private School Teaching Staff of Non-tertiary Education” in the legislative council. It is aimed at improving non-tertiary teachers’ professionalism in terms of setting hierarchies and provides training continuously. Teachers having a high level of research capacity can improve and solve education issues in Macau. Education Statistics are one of the important methods in research capacity. To develop this idea, therefore, my topic is “Analysis of variance and Its Applications in Macao Educational Researches”.In this paper a

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Peck, Roxy. "Developing statistical reasoning in a “piecemeal” secondary statistics curriculum—the next step." In Next Steps in Statistics Education. IASE international Association for Statistical Education, 2009. http://dx.doi.org/10.52041/srap.09103.

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In the last decade, statistics and data analysis have become a more visible component of the secondary school mathematics curriculum in the United States. In most cases, statistics and data analysis topics have been divided up and spread through the mathematics curriculum. However, many important concepts of statistics are not mathematical in nature and are not easily integrated into existing mathematics courses. As a consequence, most students complete their secondary education having seen a number of graphical and numerical statistical methods but having not encountered many key concepts req

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Meng, Fanqi, Manjun Qi, and Cunjin Luo. "Research Progress of Review Topic Mining Methods: From Word Frequency Statistics to Deep Learning." In 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2024. http://dx.doi.org/10.1109/csnt60213.2024.10545711.

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Saidkhujaeva, Nafisa, Aliakbar Khojiev, Zulfiya Mirkhasilova, Khikmatov Muxammad-Ali, and Nozimakhon Norkuzieva. "An interactive method in the study of the topic “research of fire extinguishing equipment”." In 2021 ASIA-PACIFIC CONFERENCE ON APPLIED MATHEMATICS AND STATISTICS. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0089559.

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Svensson, Elisabeth. "Assessing learning by student’s own examination tasks. Experiences from research courses in biostatistics." In Assessing Student leaning in Statistics. International Association for Statistical Education, 2007. http://dx.doi.org/10.52041/srap.07504.

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PhD students and others from all kinds of disciplines have the need for statistical learning and understanding in common. For that reason, research courses in research method and biostatistics are open for all kinds of participants, which mean that a large variety of applied topics are represented in each course. The participants are commonly involved in the research process on different stages, some of them having only a research topic, others have collected all data. Furthermore there is also a variation in opinion about statistics, not regarding the need for statistics but the concerns abou

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Matis, Timothy, Linda Ann Riley, and James Matis. "Integrating Technologically-Based Laboratory Modules into the Stochastic Processes Curriculum." In Curricular Development in Statistics Education. International Association for Statistical Education, 2004. http://dx.doi.org/10.52041/srap.04202.

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This paper describes a new and innovative approach to the instruction of applied stochastic processes at institutions of higher education and a method for introducing this topic to K-12 students for pre-course motivation. This approach consists of incorporating laboratory modules via digital video media that present real-world applications of stochastic processes into coursework. The modules engage the students in problem solving, thereby creating a conceptual framework for learning the subject. The pedagogy behind this instructional approach and module content is described in this paper. Prel

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Svensson, Elisabeth. "Experiencing the complexity of reality before graduation." In Next Steps in Statistics Education. IASE international Association for Statistical Education, 2009. http://dx.doi.org/10.52041/srap.09202.

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The curriculum for undergraduate students offers not only basic statistics courses but also optional courses regarding statistical methods for times series, modelling, epidemiology, econometrics and other topics potentially useful in a statistician’s career. This means that the students believe that they will get a comprehensive statistical toolbox for solving a variety of real life problems after graduation. But can they use the tools in a complex reality? The aim is to present the use of inter-disciplinary statistical problem solving courses for introducing the complexity of reality to stati

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Borovcnik, Manfred, and Teresita E. Terán. "How the project method contributes to the construction of meaning in statistics - also in a hybrid learning environment." In IASE 2021 Satellite Conference: Statistics Education in the Era of Data Science. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.edeqv.

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We address problems that arise in teaching statistics in non-statistical degree courses in statistics. The typical student reveals basic difficulties in the understanding of the key concepts. This paper describes experiences with the “project method”, motivating students with real data from the future profession. The project method generated collaborative learning and social interaction between groups by embedding learning statistics in the context of applied problems in the form of projects. Godino’s semiotic ontological framework provides elements of his model of the instructional process an

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Reports on the topic "Statistics as Topic – methods"

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Dorigo, Tommaso. Introduction to Statistical Methods for Fundamental Science (Free 1-Hour Seminar). Instats Inc., 2023. http://dx.doi.org/10.61700/wnfjth2bpdtvq469.

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In this introductory seminar, attendees will learn about the importance of correct statistical practice in the quantitative analysis of complex data with a few examples. The seminar will describe in detail the contents of the full workshop on the same topic, which will be offered in January/February 2024 by the author on the instats platform.

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Lopez-Barrios, Michel, and Paul Peters. Definitions and Methods for Analysis of Multiple Cause of Death: A Scoping Review. Spatial Determinants of Health Lab, 2023. http://dx.doi.org/10.22215/rrep/2023.sdhl.106.

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Objective: This review aims to identify and categorise demographic methods used in modelling multiple causes of death. The assumption that each death is caused by exactly one disease is debatable, as other possible diseases or causes may be associated with the main cause. Hence, the multiple causes of death approach is essential for understanding mortality. Therefore, through this study, we will carry out a Scoping Review of the existing literature on the topic of MCOD. Inclusion criteria: This review considers literature pertaining to methods for the analysis and utilization of multiple cause

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Lang, Jonas. Multilevel Modeling in R: Basic and Advanced Methods. Instats Inc., 2023. http://dx.doi.org/10.61700/aac2dxlrxcebk469.

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The seminar teaches basic and intermediate multilevel techniques used in the social, health, and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects), (3) graph

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Beal, Daniel. Organizational ESM Research: From Design and Analysis to Publication. Instats Inc., 2022. http://dx.doi.org/10.61700/p519a9xst8x9t469.

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This seminar introduces the use of Experience Sampling Methods (intensive longitudinal methods, ecological momentary assessment, diary methods, ambulatory assessment) to examine organizational phenomena. Day 1 topics include development of designs and measures, challenges with publishing ESM studies in organizational journals, and an overview of tools used for data collection. Day 2 topics focus on issues of analysis, including basic within- and between-person descriptive statistics from a Multilevel SEM perspective. A final module introduces more advanced Dynamic SEM techniques. An official I

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Spirling, Arthur. Text Analysis: Text as Data with R. Instats Inc., 2022. http://dx.doi.org/10.61700/a52fcasdqm1du469.

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This seminar introduces “text as data” statistical methods using R. The course is very applied, with the primary aim of helping social science researchers understand the types of questions we can ask with text, and how to answer them. The seminar covers how texts may be modeled and compared as quantitative entities, and then moves to supervised and unsupervised methods—including topic models and embeddings. At the seminar's conclusion, participants will know how conduct their own text as data research projects. An official Instats certificate of completion is provided at the conclusion of the

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Lang, Jonas. Multilevel Modeling in R: Basic and Advanced Methods + 1 Free Seminar. Instats Inc., 2022. http://dx.doi.org/10.61700/sw0snl2upp0gv469.

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The hands-on seminar teaches basic and intermediate multilevel techniques used in the social, health, and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects),

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Spirling, Arthur. Text Analysis: Text as Data with R. Instats Inc., 2022. http://dx.doi.org/10.61700/lolq2hyg9sn6d469.

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Abstract:

This seminar introduces “text as data” statistical methods using R. The course is very applied, with the primary aim of helping social science researchers understand the types of questions we can ask with text, and how to answer them. The seminar covers how texts may be modeled and compared as quantitative entities, and then moves to supervised and unsupervised methods—including topic models and embeddings. At the seminar's conclusion, participants will know how conduct their own text as data research projects. An official Instats certificate of completion is provided at the conclusion of the

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Beal, Daniel. ESM Research: From Design and Analysis to Publication. Instats Inc., 2022. http://dx.doi.org/10.61700/cldz810mwahip469.

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This seminar introduces the use of Experience Sampling Methods (intensive longitudinal methods, ecological momentary assessment, diary methods, ambulatory assessment) to examine organizational phenomena. The first set of topics include development of ESM designs and measures, challenges with publishing ESM studies (with a particular emphasis on organizational journals), and an overview of tools used for ESM data collection and cleaning in R. The second set of topics focus on issues of ESM data analysis, including basic within- and between-person descriptive statistics and multilevel omega reli

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Dorigo, Tommaso. Statistical Methods for Fundamental Science. Instats Inc., 2023. http://dx.doi.org/10.61700/tr03is3us8wzp469.

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This 5-day workshop, taught by renowned CERN physicist Tommaso Dorigo, is designed to equip PhD students, professors, and professional researchers with the skills to apply optimal statistical methods in any scientific field. The workshop covers the crucial topics necessary for researchers to avoid typical mistakes in statistical analysis and produce effective statistical inference, enabling you to extract more information from the same data than your peers. The course also provides an introduction to machine learning, offering a solid foundation in powerful statistical methods for all discipli

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Kozlovsky, Evgen O., та Hennadiy M. Kravtsov. Мультимедийная виртуальная лаборатория по физике в системе дистанционного обучения. [б. в.], 2018. http://dx.doi.org/10.31812/0564/2455.

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Research goals: the description of technology of software development in Physics Virtual Laboratory for Distance Learning System. Research objectives: the architecture of client and server parts of the lab, the functionality of the system modules, user roles, as well as the principles of virtual laboratory use on a personal computer. Object of research: the distance learning system “Kherson Virtual University”. Subject of research: virtual laboratory for physics in the distance learning. Research methods used: analysis of statistics and publications. Results of the research. The development of

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