Latent variable models and factor analysis : a unified approach.

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....

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Bartholomew, David J.
Άλλοι συγγραφείς: Knott, M. (Martin), Moustaki, Irini
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, N.J. : Wiley, 2011.
Έκδοση:3rd ed. /
Σειρά:Wiley series in probability and statistics.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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049 |a MAIN 
100 1 |a Bartholomew, David J. 
245 1 0 |a Latent variable models and factor analysis :  |b a unified approach. 
250 |a 3rd ed. /  |b David Bartholomew, Martin Knott, Irini Moustaki. 
264 1 |a Hoboken, N.J. :  |b Wiley,  |c 2011. 
300 |a 1 online resource (xiii, 277 pages) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a data file  |2 rda 
380 |a Bibliography 
490 1 |a Wiley series in probability and statistics 
504 |a Includes bibliographical references and index. 
505 0 0 |t Front matter --  |t Basic ideas and examples --  |t The general linear latent variable model --  |t The normal linear factor model --  |t Binary data : latent trait models --  |t Polytomous data : latent trait models --  |t Latent class models --  |t Models and methods for manifest variables of mixed type --  |t Relationships between latent variables --  |t Related techniques for investigating dependency --  |t Software appendix --  |t References --  |t Author index --  |t Subject index. 
520 |a 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. Presen. 
588 0 |a Print version record. 
650 0 |a Latent variables. 
650 0 |a Latent structure analysis. 
650 0 |a Factor analysis. 
650 4 |a Factor analysis. 
650 4 |a Latent structure analysis. 
650 4 |a Latent variables. 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x Multivariate Analysis.  |2 bisacsh 
650 7 |a Factor analysis.  |2 fast  |0 (OCoLC)fst01432040 
650 7 |a Latent structure analysis.  |2 fast  |0 (OCoLC)fst00992952 
650 7 |a Latent variables.  |2 fast  |0 (OCoLC)fst00992953 
655 4 |a Electronic books. 
700 1 |a Knott, M.  |q (Martin) 
700 1 |a Moustaki, Irini. 
776 0 8 |i Print version:  |a Bartholomew, David J.  |t Latent variable models and factor analysis.  |b 3rd ed.  |d Hoboken, N.J. : Wiley, 2011  |z 9780470971925  |w (DLC) 2011007711  |w (OCoLC)710044915 
830 0 |a Wiley series in probability and statistics. 
856 4 0 |u https://doi.org/10.1002/9781119970583  |z Full Text via HEAL-Link 
994 |a 92  |b DG1