bayesian approach structural equation de thanoon (5 resultados)

Paperback. Condición: Brand New. 180 pages. 8.66x5.91x0.41 inches. In Stock.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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). 180 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Y. Thanoon ThanoonDr. Thanoon Y. Thanoon is Assist. Prof. of Statistics. He finished his PhD from University Technology Malaysia. He is working as a Head of Department of Business Administration Techniques- Technical College of Manag.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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).Books on Demand GmbH, Überseering 33, 22297 Hamburg 180 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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).