| Edition |
1st ed. |
| Description |
1 online resource (xxii, 435 pages) : illustrations |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Handbook of computing and statistics with applications, 1871-0301 ; v. 1 |
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Handbook of computing and statistics with applications ; v. 1. 1871-0301
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| Summary |
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. |
| Contents |
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 Söan) -- 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). |
| Bibliography |
Includes bibliographical references and indexes. |
| Note |
Print version record. |
| Subject |
Latent structure analysis.
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Latent variables.
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Analyse de structure latente.
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Variables latentes.
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MATHEMATICS -- Probability & Statistics -- Multivariate Analysis.
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Latent structure analysis
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Latent variables
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| Added Author |
Lee, Sik-Yum.
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| Other Form: |
Print version: Handbook of latent variable and related models. 1st ed. Amsterdam ; Boston : Elsevier/North-Holland, 2007 9780444520449 0444520449 (DLC) 2006052150 (OCoLC)73954771 |
| ISBN |
9780444520449 |
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0444520449 |
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9780080471266 (electronic bk.) |
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0080471269 (electronic bk.) |
| Standard No. |
AU@ 000048130059 |
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CHNEW 001005670 |
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DEBBG BV036962177 |
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DEBBG BV039834058 |
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DEBBG BV042317160 |
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DEBSZ 275214877 |
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DEBSZ 430379188 |
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NZ1 11778236 |
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NZ1 15192387 |
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DKDLA 820120-katalog:9910110502705765 |
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