TY  - BOOK
AU  - Lee,Sik-Yum
ED  - Wiley InterScience (Online service)
TI  - Structural equation modeling: a Bayesian approach 
T2  - Wiley series in probability and statistics
SN  - 9780470024737
AV  - QA278.3 .L44 2007
U1  - 519.5/3 22
PY  - 2007///
CY  - Chichester, England, Hoboken, NJ
PB  - Wiley
KW  - Structural equation modeling
KW  - Bayesian statistical decision theory
KW  - Modèles d'équations structurales
KW  - Statistique bayésienne
KW  - Electronic books
N1  - Includes bibliographical references and index; Structural Equation Modeling; Contents; About the Author; Preface; 1 Introduction; 2 Some Basic Structural Equation Models; 3 Covariance Structure Analysis; 4 Bayesian Estimation of Structural Equation Models; 5 Model Comparison and Model Checking; 6 Structural Equation Models with Continuous and Ordered Categorical Variables; 7 Structural Equation Models with Dichotomous Variables; 8 Nonlinear Structural Equation Models; 9 Two-level Nonlinear Structural Equation Models; 10 Multisample Analysis of Structural Equation Models; 11 Finite Mixtures in Structural Equation Models
N2  - Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data
UR  - https://eresourcesptsl.ukm.remotexs.co/user/login?url=http://onlinelibrary.wiley.com/book/10.1002/9780470024737
ER  -