| 书目名称 | Longitudinal Categorical Data Analysis | | 编辑 | Brajendra C. Sutradhar | | 视频video | http://file.papertrans.cn/589/588605/588605.mp4 | | 概述 | Provides a comprehensive approach to analysing longitudinal data, with real life examples from the social sciences and medicine.Covers univariate, bi-variate, and multivariate models for categorical a | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natural generalization of the longitudinal binary data analysis to the multinomial data setup with more than two categories. Thus, unlike the existing books on cross-sectional categorical data analysis using log linear models, this book uses multinomial probability models both in cross-sectional and longitudinal setups. A theoretical foundation is provided for the analysis of univariate multinomial responses, by developing models systematically for the cases with no covariates as well as categorical covariates, both in cross-sectional and longitudinal setups. In the longitudinal setup, both stationary and non-stationary covariates are considered. These models have also been extended to the bivariate multinomial setup along with suitable covariates. For the inferences, the book uses the generalized quasi-likelihood as well as the exact likelihood approaches..The book is technically rigorous, and, it also presents illustrations of the statistical analysis of various real life data involving un | | 出版日期 | Book 2014 | | 关键词 | Categorical data analysis; Exact likelihood approaches; Generalized quasi-likelihood; Longitudinal bina | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4939-2137-9 | | isbn_softcover | 978-1-4939-5320-2 | | isbn_ebook | 978-1-4939-2137-9Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer Science+Business Media New York 2014 |
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