Modern Applied Regressions Bayesian and frequentist analysis of categorical and limited response variables with R and Stan / Jun Xu.

Author/creator Xu, Jun
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : Taylor and Francis, 2023.
Descriptionpages cm.
Supplemental ContentFull text available from Taylor & Francis eBooks
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

SeriesChapman and Hall/CRC statistics in the social and behavioral
Abstract "Modern Applied Regressions creates an intricate and colorful mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social sciences, this text provides details for doing Bayesian and frequentist data analysis of CLRV models. This book first scaffolds both Bayesian and frequentist paradigms for regression analysis, and then moves onto different types of categorical and limited response variable models, including binary, ordered, multinomial, count, and survival regression"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2022023861
ISBN9780367173876 (hardback)
ISBN9781032376745 (paperback)
ISBN(ebook)

Availability

Library Location Call Number Status Item Actions
Electronic Resources ✔ Available