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Titlebook: Contingency Table Analysis; Methods and Implemen Maria Kateri Textbook 2014 Springer Science+Business Media New York 2014 2014 BUGS.Bayesia

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發(fā)表于 2025-3-21 17:08:29 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Contingency Table Analysis
副標題Methods and Implemen
編輯Maria Kateri
視頻videohttp://file.papertrans.cn/237/236944/236944.mp4
概述Presents a variety of new sophisticated models for the analysis of two- and multidimensional-contingency tables.Real-world applications to life sciences, education, social and political sciences, nota
叢書名稱Statistics for Industry and Technology
圖書封面Titlebook: Contingency Table Analysis; Methods and Implemen Maria Kateri Textbook 2014 Springer Science+Business Media New York 2014 2014 BUGS.Bayesia
描述.Contingency tables arise in diverse fields, including life sciences, education, social and political sciences, notably market research and opinion surveys. Their analysis plays an essential role in gaining insight into structures of the quantities under consideration and in supporting decision making..Combining both theory and applications, this book presents models and methods for the analysis of two- and multidimensional-contingency tables. The author uses a threefold approach, presenting fundamental models and related inference, highlighting their interpretational aspects, and demonstrating their practical usefulness.??Emphasis is on applications and methods of fitting models using standard statistical tools - such as SPSS, R, and BUGS - and on interpretation of the results. .An excellent reference for advanced undergraduates, graduate students, and practitioners in statistics as well as biosciences, social sciences, education, and economics, the work may also be used as a textbook for a course on categorical data analysis. Prerequisites include basic background on statistical inference and knowledge of statistical software packages..
出版日期Textbook 2014
關(guān)鍵詞BUGS; Bayesian inference; R; S-PLUS; SPSS; categorical classification variable; categorical data; commensur
版次1
doihttps://doi.org/10.1007/978-0-8176-4811-4
isbn_softcover978-1-4939-3959-6
isbn_ebook978-0-8176-4811-4Series ISSN 2364-6241 Series E-ISSN 2364-625X
issn_series 2364-6241
copyrightSpringer Science+Business Media New York 2014 2014
The information of publication is updating

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https://doi.org/10.1007/978-3-319-60645-3 are discussed and illustrated in .. In particular the comparison of two independent proportions, the test of independence for 2 × 2 and . × . contingency tables, the linear trend test, and the Fisher’s exact test are presented. Special emphasis is given to the odds ratio for 2 × 2 tables, while the
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Epic Human Failure on June 30, 2013d marginal association. Further on, stratified 2 × 2 tables are analyzed by the Mantel–Haenszel and the Breslow–Day–Tarone tests. Types of independence for three-way tables are introduced. Graphs are presented for multi-way contingency tables while fourfold plots are used to visualize stratified 2 ×
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Roger Lew,Ronald L. Boring,Thomas A. Ulrich fit, and model selection are discussed. In the GLM framework the analysis of incomplete tables is more straightforward. The quasi-independence model is defined and illustrated in .. Furthermore, the family of generalized log-linear models (GLLMs) is briefly presented and a GLLM is illustrated with
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Vincent G. Duffy,Nancy Lightnerfeatures, properties, and the associated graphs are discussed. The models of uniform association (U), row effect (R), column effect (C), multiplicative row–column effect (RC), and the more general RC(.) model are illustrated with examples in terms of fit, presentation, and interpretation. They are a
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Timothy Arnold,Helen J. A. Fuller baseline category logit, the cumulative logit, and the proportional odds models are presented. Also logit models for ordinal explanatory variables are considered as well as the logit analysis of stratified 2 × 2 contingency tables. Logit models are connected to association models and illustrated wi
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Shifeng Zhao,Jie Shen,Zhenhuan Weng of conditional symmetry, diagonal symmetry, and ordinal quasi symmetry are discussed in detail. The model of marginal homogeneity is tested as a generalized log-linear model and not only conditioning on quasi symmetry, as is usually done. Connections to rater agreement models and mobility table ana
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