Bayesian Approach to Structural Equation Models: for Ordered Categorical and Dichotomous Data

Y. Thanoon, Thanoon

ISBN 10: 6134905836 / ISBN 13: 9786134905831

Editore: LAP LAMBERT Academic Publishing, 2018

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180 pages. 8.66x5.91x0.41 inches. In Stock.

Codice articolo zk6134905836

Dati bibliografici

• Titolo: Bayesian Approach to Structural Equation Models: for Ordered Categorical and Dichotomous Data
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 6134905836
• ISBN 13: 9786134905831
• Rilegatura: Paperback
• Condizione: Brand New
• Peso: 0,32 chilogrammi

Descrizione articolo

Riassunto

This book represents a general idea on using Bayesian analysis in structural equation models for two different types of data "ordered categorical and dichotomous". This book focuses on Convergence of the Gibbs Sampling Algorithm using "BGR DIAGNOSTIC". The ordered categorical and dichotomous data are handled using censoring and truncation methods. The choice between the models depends on the parameter estimation results and the goodness-of-fit statistics, Deviance Information Criterion (DIC).