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

Thanoon Y. Thanoon

ISBN 10: 6134905836 / ISBN 13: 9786134905831

Verlag: LAP LAMBERT Academic Publishing, 2018

Beschreibung

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).

Bestandsnummer des Verkäufers 9786134905831

Bibliografische Details

• Titel: Bayesian Approach to Structural Equation Models : for Ordered Categorical and Dichotomous Data
• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsjahr: 2018
• Sprache: Englisch
• ISBN-10: 6134905836
• ISBN-13: 9786134905831
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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).