| 书目名称 | Trends and Challenges in Categorical Data Analysis | | 副标题 | Statistical Modellin | | 编辑 | Maria Kateri,Irini Moustaki | | 视频video | | | 概述 | Enables readers to keep track of new developments in categorical data analysis.Contributes to the modelling of large and complex categorical, cross-sectional and longitudinal data.Integrates modern me | | 丛书名称 | Statistics for Social and Behavioral Sciences | | 图书封面 |  | | 描述 | .This book provides a selection of modern and sophisticated methodologies for the analysis of large and complex univariate and multivariate categorical data. It gives an overview of a substantive and broad collection of topics in the analysis of categorical data, including association, marginal and graphical models, time series and fixed effects models, as well as modern methods of estimation such as regularization, Bayesian estimation and bias reduction methods, along with new simple measures for model interpretability. Methodological innovations and developments are illustrated and explained through real-world applications, together with useful R packages, allowing readers to replicate most of the analyses using the provided code. The applications span a variety of disciplines, including education, psychology, health, economics, and social sciences. . | | 出版日期 | Book 2023 | | 关键词 | Ordinal data; Association models; Graphical models; Multivariate-data; Longitudinal data; GLM; Classificat | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-31186-4 | | isbn_softcover | 978-3-031-31188-8 | | isbn_ebook | 978-3-031-31186-4Series ISSN 2199-7357 Series E-ISSN 2199-7365 | | issn_series | 2199-7357 | | copyright | Springer Nature Switzerland AG 2023 |
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发表于 2025-3-21 16:31:46
