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Wiley Series in Probability and Statistics Ser.: Latent Variable Models and Factor Analysis : A Unified Approach by Martin Knott, Irini Moustaki and David J. Bartholomew (2011, Hardcover)

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They treat all variables--manifest and latent, continuous or categorical--as random variables, then subsequent analysis is done wholly within the realm of the probability calculus and the theory of statistical inference.

About this product

Product Identifiers

PublisherWiley & Sons, Incorporated, John

ISBN-100470971924

ISBN-139780470971925

eBay Product ID (ePID)103021410

Product Key Features

Number of Pages296 Pages

LanguageEnglish

Publication NameLatent Variable Models and Factor Analysis : a Unified Approach

Publication Year2011

SubjectProbability & Statistics / General, Probability & Statistics / Multivariate Analysis

TypeTextbook

Subject AreaMathematics

AuthorMartin Knott, Irini Moustaki, David J. Bartholomew

SeriesWiley Series in Probability and Statistics Ser.

FormatHardcover

Dimensions

Item Height0.8 in

Item Weight20 Oz

Item Length9.1 in

Item Width6.3 in

Additional Product Features

Edition Number3

Intended AudienceScholarly & Professional

LCCN2011-007711

Dewey Edition22

Reviews"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 provides a solid foundation for understanding these techniques, and is strongly recommended." (Book Pleasures, 2012)

IllustratedYes

Dewey Decimal519.5/35

SynopsisLatent 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, 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., 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.

LC Classification NumberQA278.6