Trends and Challenges in Categorical Data Analysis - Statistical Modelling and Interpretation (1st ed. 2023)

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. 

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Statistics for Social and Behavioral Sciences
Release date:	July 2023
First published:	2023
Editors:	Maria Kateri • Irini Moustaki
Dimensions:	235 x 155mm (L x W)
Pages:	315
Edition:	1st ed. 2023
ISBN-13:	978-3-03-131185-7
Categories:	Books
LSN:	3-03-131185-X
Barcode:	9783031311857

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