Latent Variable Models and Factor Analysis
A Unified Approach
Buch in deiner Nähe kaufen
Beschreibung
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency.
This book:
* Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family.
* Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency.
* Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples.
* Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous.
No prior acquaintance with latent variable modelling is pre-supposed but a broad understanding of statistical theory will make it easier to see the approach in its proper perspective. Applied statisticians, psychometricians, medical statisticians, biostatisticians, economists and social science researchers will benefit from this book.
Autor*in
David J. Bartholomew
Themen in »Latent Variable Models and Factor Analysis«
Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle Angewandte Wahrscheinlichkeitsrechnung u. Statistik Applied Probability & Statistics Applied Probability & Statistics - Models Biostatistics Biostatistik Statistics Statistik
Stimmen zu »Latent Variable Models and Factor Analysis«
"Latent Variable Models and Factor Analysis provides acomprehensive and unified approach to factor analysis and latentvariable modeling from a statistical perspective." (Mathematical Reviews, 2012)"Statistical techniques to study the nature and interpretation of alatent variable should be highly useful for researchers andpractitioners across several fields. The third edition of this bookis comprehensive and provides a solid foundation for understandingthese techniques, and is strongly recommended." (Book Pleasures,2012)
()