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

Thanoon Y. Thanoon

ISBN 10: 6134905836 / ISBN 13: 9786134905831

Published by LAP LAMBERT Academic Publishing, 2018

About this Item

Bayesian Approach to Structural Equation Models | for Ordered Categorical and Dichotomous Data | Thanoon Y. Thanoon | Taschenbuch | 180 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786134905831 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 111224163

Bibliographic Details

• Title: Bayesian Approach to Structural Equation Models | for Ordered Categorical and Dichotomous Data
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 6134905836
• ISBN 13: 9786134905831
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 12D millimeters 220 millimeters width by 150 millimeters height by 12 millimeters depth
• Weight: 286 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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).