Overview
- Practically motivated and clear overview of methods for selecting random effects.
- Leading researchers in the field describe how to appropriately test variance components equal to zero.
- Bayesian and frequentist approaches for model selection in structural equation models.
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Statistics (LNS, volume 192)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
-
Random Effects Models
-
Factor Analysis and Structural Equations Models
Keywords
About this book
Reviews
“This book is a collection of review papers, of developments in a young and fast-moving field. It consists of two parts; on random effects models, and factor analysis and structural equation models. Within both of these, there is the familiar divide between frequentist and Bayesian methods, which receive separate reviews. The Bayesian methods are typically more recent developments, although almost all of the material covered is from the late 1980s and beyond. …This book offers researchers in this area several snapshots of current lines of research. Taken individually, the chapters offer concise and clear reviews of the more mature frequentist field, as well as clearly written introductions to newer Bayesian work.” (Biometrics, Summer 2009, 65, 993)
“The topics are appropriate and timely. The chapters are well written and well organized. … this book presents methods incorporating model uncertainty in random-effects and latent variable models. This concise, self-contained … application-based volume will be beneficial to graduate students and researchers interested in both theory and application. It also is suitable as a text for a graduate seminar … . I must commend the editor for providing a nice summary and discussion on the topics covered in the book … I enjoyed reading it!” (Technometrics, Vol. 51 (2), May, 2009)
Editors and Affiliations
Bibliographic Information
Book Title: Random Effect and Latent Variable Model Selection
Editors: David B. Dunson
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-0-387-76721-5
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2008
Softcover ISBN: 978-0-387-76720-8Published: 12 August 2008
eBook ISBN: 978-0-387-76721-5Published: 18 March 2010
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: X, 170
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods