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Handbook of latent variable and related models /

This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spect...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Lee, Sik-Yum
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Elsevier/North-Holland, 2007.
Edición:1st ed.
Colección:Handbook of computing and statistics with applications ; v. 1.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Handbook of latent variable and related models /  |c edited by Sik-Yum Lee. 
250 |a 1st ed. 
260 |a Amsterdam ;  |a Boston :  |b Elsevier/North-Holland,  |c 2007. 
300 |a 1 online resource (xxii, 435 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 
490 1 |a Handbook of computing and statistics with applications,  |x 1871-0301 ;  |v v. 1 
520 |a This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples with real data sets from business, education, medicine, public health and sociology. - Demonstrates the use of a wide variety of statistical, computational, and mathematical techniques. 
505 0 |a Preface -- About the Authors -- 1. Covariance Structure Models for Maximal Reliability of Unit-weighted Composites (Peter M. Bentler) -- 2. Advances in Analysis of Mean and Covariance Structure When Data are Incomplete (Mortaza Jamshidian, Matthew Mata) -- 3. Rotation Algorithms: From Beginning to End (Robert I. Jennrich) -- 4. Selection of Manifest Variables (Yutaka Kano) -- 5. Bayesian Analysis of Mixtures Structural Equation Models with Missing Data (Sik-Yum Lee) -- 6. Local Influence Analysis for Latent Variable Models with Nonignorable Missing Responses (Bin Lu, Xin-Yuan Song, Sik-Yum Lee, Fernand Mac-Moune Lai) -- 7. Goodness-of-fit Measures for Latent Variable Models for Binary Data (D. Mavridis, Irini Moustaki, Martin Knott) -- 8. Bayesian Structural Equation Modeling (Jesus Palomo, David B. Dunson, Ken Bollen) -- 9. The Analysis of Structural Equation Model with Ranking Data using Mx (Wai-Yin Poon) -- 10. Multilevel Structural Equation Modeling (Sophia Rable-Hesketh, Anders Skrondal, Xiaohui Zheng) -- 11. Statistical Inference of Moment Structure (Alexander Shapiro) -- 12. Meta-Analysis and Latent Variables Models for Binary Data (Jian-Qing Shi) -- 13. Analysis of Multisample Structural Equation Models with Applications to Quality of Life Data (Xin-Yuan Song) -- 14. The Set of Feasible Solutions for Reliability and Factor Analysis (Jos M.F. ten Berge, Gregor S�oan) -- 15. Nonlinear Structural Equation Modeling as a Statistical Method (Melanie M. Wall, Yasuo Amemiya) -- 16. Matrix Methods and Their Applications to Factor Analysis (Haruo Yanai, Yoshio Takane) -- 17. Robust Procedures in Structural Equation Modeling (Ke-Hai Yuan, Peter M. Bentler) -- 18. Stochastic Approximation Algorithms for Estimation of Spatial Mixed Models (Hongtu Zhu, Faming Liang, Minggao Gu, Bradley Peterson). 
504 |a Includes bibliographical references and indexes. 
588 0 |a Print version record. 
650 0 |a Latent structure analysis. 
650 0 |a Latent variables. 
650 6 |a Analyse de structure latente.  |0 (CaQQLa)201-0021649 
650 6 |a Variables latentes.  |0 (CaQQLa)201-0021650 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x Multivariate Analysis.  |2 bisacsh 
650 7 |a Latent structure analysis.  |2 fast  |0 (OCoLC)fst00992952 
650 7 |a Latent variables.  |2 fast  |0 (OCoLC)fst00992953 
700 1 |a Lee, Sik-Yum. 
776 0 8 |i Print version:  |t Handbook of latent variable and related models.  |b 1st ed.  |d Amsterdam ; Boston : Elsevier/North-Holland, 2007  |z 9780444520449  |z 0444520449  |w (DLC) 2006052150  |w (OCoLC)73954771 
830 0 |a Handbook of computing and statistics with applications ;  |v v. 1.  |x 1871-0301 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780444520449  |z Texto completo