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Handbook of latent variable and related models
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Handbook of latent variable and related modelsedited by Sik-Yum Lee.
其他作者:
Lee, Sik-Yum.
出版者:
Amsterdam ;Elsevier/North-Holland,2007.
面頁冊數:
1 online resource (xxii, 435 p.) :ill.
標題:
Latent structure analysis.
電子資源:
http://www.sciencedirect.com/science/book/9780444520449
ISBN:
9780444520449
Handbook of latent variable and related models
Handbook of latent variable and related models
[electronic resource] /edited by Sik-Yum Lee. - 1st ed. - Amsterdam ;Elsevier/North-Holland,2007. - 1 online resource (xxii, 435 p.) :ill. - Handbook of computing and statistics with applications,v. 11871-0301 ;. - Handbook of computing and statistics with applications ;v. 1..
Includes bibliographical references and indexes.
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).
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.
ISBN: 9780444520449
Source: 116290:116388Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:
240197
Latent structure analysis.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: QA278.6 / .H36 2007eb
Dewey Class. No.: 519.5/35
Handbook of latent variable and related models
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