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Handbook of latent variable and related models / ed. by Sik-Yum Lee

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Handbook of computing and statistics with applications ; v. 1Publisher: Amsterdam [u.a.] : Elsevier, 2007Edition: 1st edDescription: Online Ressource (xxii, 435 p.) : illustrationsISBN:
  • 9780444520449
  • 0444520449
  • 9780080471266
  • 0080471269
Subject(s): Additional physical formats: 0444520449 | Erscheint auch als: Handbook of latent variable and related models. Druck-Ausgabe. Reprint. Amsterdam : Elsevier, 2008DDC classification:
  • 519.535
  • 519.5/35
MSC: MSC: *62-02 | 62H25 | 62H05 | 62H15 | 62H12 | 62-04RVK: RVK: SK 830LOC classification:
  • QA278.6
DOI: DOI: 10.1016/B978-0-444-52044-9.X5000-9Online resources: Summary: 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)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 techniquesPPN: PPN: 1645856364Package identifier: Produktsigel: BSZ-33-ECE | ZDB-1-ELC | BSZ-33-EBS-C1UB | GBV-33-EBS-MRI | GBV-33-EBS-ZHB | GBV-33-Freedom-BL | ZDB-33-EBS | ZDB-33-ESD | ZDB-33-MTC
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Reproduktion. Online-Ressource. (ScienceDirect)

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