| 书目名称 | Lectures on Categorical Data Analysis | | 编辑 | Tamás‘ Rudas | | 视频video | | | 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 | | 丛书名称 | Springer Texts in Statistics | | 图书封面 |  | | 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 | | 关键词 | Association and Causation; Biostatistics; Categorical data analysis; Causal analysis; Data analysis; Expo | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4939-7693-5 | | isbn_softcover | 978-1-4939-9259-1 | | isbn_ebook | 978-1-4939-7693-5Series ISSN 1431-875X Series E-ISSN 2197-4136 | | issn_series | 1431-875X | | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2018 |
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发表于 2025-3-21 18:43:25
