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Latent Variable Models and Factor Analysis
David J. Bartholomew
€ 81.81
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Description for Latent Variable Models and Factor Analysis
Hardcover. 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. Series: Wiley Series in Probability and Statistics. Num Pages: 294 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 226 x 162 x 21. Weight in Grams: 572.
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.
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 ... Read more
- 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.
Show LessProduct Details
Format
Hardback
Publication date
2011
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
294
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
296
Place of Publication
New York, United States
ISBN
9780470971925
SKU
V9780470971925
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About David J. Bartholomew
David Bartholomew, Martin Knott and Irini Moustaki, Department of Statistics, The London School of Economics and Political Science, London, UK
Reviews for Latent Variable Models and Factor Analysis
“Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective.” (Mathematical Reviews, 2012) "Statistical techniques to study the nature and interpretation of a latent variable should be highly useful for researchers and practitioners across several fields. The third edition of this book is comprehensive and ... Read more