Bayesian analysis of three-way ANOVA model and a diagnostic test for the convergence of the estimation.
Hossain, Ahmed and Khan, Hafiz T. A. (2007) Bayesian analysis of three-way ANOVA model and a diagnostic test for the convergence of the estimation. Journal of Statistics and Management Systems, 10 (1). pp. 153-160. ISSN 0972-0510
Full text is not in this repository.
The three-way analysis of variance (ANOVA) is one of the useful multilevel models in which a normality assumption is used for statistical inference. The main purpose of the paper is to evaluate some of the strengths of using Markov Chain Monte Carlo (MCMC) methods to this model. Experience shows that getting the mathematical expression for the joint posterior distribution can be quite difficult (see for details, Box and Tiao (1992)). But with the use of Bayesian software package WINBUGS, we can get the conditional distributions after specifying the model (the likelihood and the prior). While demonstrating these MCMC applications, a diagnostic procedure is shown after illustrating an example.
|Research Areas:||A. Middlesex University Schools and Centres > School of Law > Criminology and Sociology|
|Deposited On:||03 Feb 2010 10:50|
|Last Modified:||09 Feb 2015 15:57|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year