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Latent variable models and factor analysis : a unified approach.

Author: David J Bartholomew; M Knott; Irini Moustaki
Publisher: Hoboken, N.J. : Wiley, 2011.
Series: Wiley series in probability and statistics.
Edition/Format:   eBook : Document : English : 3rd ed.View all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Bartholomew, David J.
Latent variable models and factor analysis.
Hoboken, N.J. : Wiley, 2011
(DLC) 2011007711
(OCoLC)710044915
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: David J Bartholomew; M Knott; Irini Moustaki
ISBN: 9781119970583 111997058X 9781119970590 1119970598
OCLC Number: 739118488
Description: 1 online resource (xiii, 277 pages) : illustrations.
Contents: Front matter --
Basic ideas and examples --
The general linear latent variable model --
The normal linear factor model --
Binary data : latent trait models --
Polytomous data : latent trait models --
Latent class models --
Models and methods for manifest variables of mixed type --
Relationships between latent variables --
Related techniques for investigating dependency --
Software appendix --
References --
Author index --
Subject index.
Series Title: Wiley series in probability and statistics.
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Abstract:

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  Read more...

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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) Read more...

 
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