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Titlebook: Lectures on Categorical Data Analysis; Tamás‘ Rudas Textbook 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Assoc

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發(fā)表于 2025-3-21 18:43:25 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Lectures on Categorical Data Analysis
編輯Tamás‘ Rudas
視頻videohttp://file.papertrans.cn/584/583480/583480.mp4
概述Covers newest statistical and computational approaches to categorical data analysis.Contains over 200 problems for the analysis of actual clinical trial content.Designed for upper-undergraduate and gr
叢書名稱Springer Texts in Statistics
圖書封面Titlebook: Lectures on Categorical Data Analysis;  Tamás‘ Rudas Textbook 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Assoc
描述.This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, political and behavioral sciences, as well as in marketing and medical and biological research. The methods applied are mainly aimed at understanding the structure of associations among variables and the effects of other variables on these interactions.? A great advantage of studying categorical data analysis is that many concepts in statistics become transparent when discussed in a categorical data context, and, in many places, the book takes this opportunity to comment on general principles and methods in statistics, addressing not only the “how” but also the “why.”.Assuming minimal background in calculus, linear algebra, probability theory and statistics, the book is designed to be used in upper-undergraduate and graduate-level courses in the field and in more general statistical methodology courses, as well as a self-study resource for researchers and professionals. The book covers such key issues as: higher order interactions among categorical variables; the use of the delta-method
出版日期Textbook 2018
關(guān)鍵詞Association and Causation; Biostatistics; Categorical data analysis; Causal analysis; Data analysis; Expo
版次1
doihttps://doi.org/10.1007/978-1-4939-7693-5
isbn_softcover978-1-4939-9259-1
isbn_ebook978-1-4939-7693-5Series ISSN 1431-875X Series E-ISSN 2197-4136
issn_series 1431-875X
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2018
The information of publication is updating

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發(fā)表于 2025-3-21 21:20:28 | 只看該作者
Basic Testing for Categorical Data,ntroduced for tests of fit. The concept of independence, which will play a central role in later chapters of the book, is also introduced for the simple case of two-way tables and tests of independence are discussed.
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Log-Linear Models: Estimation,ed by the model, while the marginal distributions on the descending class are taken from the observed data in the maximum likelihood estimates. Then, the main tool of computing maximum likelihood estimates, the Iterative Proportional Fitting Procedure, is described, and its convergence is proved.
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1431-875X inical trial content.Designed for upper-undergraduate and gr.This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, political and behavioral sciences, as wel
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發(fā)表于 2025-3-23 04:56:42 | 只看該作者
roved diagnosis of infectious diseases, the efficacy of all known current anti-infective agents is threatened by the spread of drug-resistant forms of the pathogens. Hence, there remains an urgent need to develop anti-infective agents that target drug-resistant pathogens.. In Silico Models for Drug
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Tamás Rudasation advice from the experts.Includes supplementary materia.Infectious diseases caused by viruses, parasites, bacteria, and fungi are the number one cause of death worldwide. Although new technologies have improved diagnosis of infectious diseases, the efficacy of all known current anti-infective a
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