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:
Latent structure analysis.
Latent variables.
Analyse de structure latente.
Variables latentes.
MATHEMATICS > Probability & Statistics > Multivariate Analysis.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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).

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