04435cam a2200685Mi 4500 ocn798536286 OCoLC 20170612141628.0 m o d cr bn||||a|cuu 120709s2012 enka ob 001 0 eng d EBLCP eng pn EBLCP OCLCO DG1 CUS YDXCP OCLCQ DEBSZ LRU MNU OCLCF OCLCQ EBLCP DG1 844726423 9781118358887 (electronic bk.) 1118358880 (electronic bk.) 9781118359433 1118359437 9780470669525 0470669527 (hardback) AU@ 000049858935 DEBSZ 39733902X DEBSZ 425885372 DEBSZ 431157987 DEBSZ 449307980 DKDLA 820120-katalog:000588776 NZ1 14690890 NZ1 15340807 DEBBG BV043394655 (OCoLC)798536286 (OCoLC)844726423 QA278.3 519.5/3 519.53 MAT029000 bisacsh MAIN Song, Xin-Yuan. Basic and advanced Bayesian structural equation modeling : with applications in the medical and behavioral sciences / Xin-Yuan Song and Sik-Yum Lee. Chichester, West Sussex : John Wiley & Sons, 2012. 1 online resource (xvii, 367 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Wiley series in probability and statistics Includes bibliographical references and index. Introduction -- Basic concepts and applications of structural equation models -- Bayesian methods for estimating structural equation models -- Bayesian model comparison and model checking -- Practical structural equation models -- Structural equation models with hierarchical and multisample data -- Mixture structural equation models -- Structural equation modeling for latent curve models -- Longitudinal structural equation models -- Semiparametric structural equation models with continuous variables -- Structural equation models with mixed continuous and unordered categorical variables -- Structural equation models with nonparametric structural equations -- Transformation structural equation models -- Conclusion. "This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for analyzing various kinds of complex data, such as ordered and unordered categorical data, multilevel data, mixture data, longitudinal data, highly non-normal data, as well as some of their combinations. In addition, Bayesian semiparametric SEMs to capture the true distribution of explanatory latent variables are introduced, whilst SEM with a nonparametric structural equation to assess unspecified functional relationships among latent variables are also explored. Statistical methodologies are developed using the Bayesian approach giving reliable results for small samples and allowing the use of prior information leading to better statistical results. Estimates of the parameters and model comparison statistics are obtained via powerful Markov Chain Monte Carlo methods in statistical computing."--Publisher's website. Print version record. Bayesian statistical decision theory. Structural equation modeling. Mathematics. Bayesian statistical decision theory. fast (OCoLC)fst00829019 Structural equation modeling. fast (OCoLC)fst01738928 Electronic books. Lee, Sik-Yum. Print version: Song, Xin-Yuan. Basic and advanced Bayesian structural equation modeling. Chichester, West Sussex : John Wiley, 2012 9780470669525 (DLC) 2012012199 (OCoLC)853461614 Wiley series in probability and statistics. http://onlinelibrary.wiley.com/book/10.1002/9781118358887 Wiley Online Library EBL - Ebook Library EBLB EBL4034570 EBL - Ebook Library EBLB EBL954614 YBP Library Services YANK 9571143 92 DG1 206017 206017