On Bayesian Estimation in Mixed Linear Models Using the Gibbs Sampler
This paper tackles the estimation of parameters of linear mixed random effect one–classification model by Bayesian technique which includes Gibbs sampling. Gibbs sampling is a special case of Monte Carlo Method which uses Markov Chain and so called MCMC (Markov Chain Monte Carlo). This MCMC method...
| Format: | Article |
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| Language: | Arabic |
| Published: |
College of Computer Science and Mathematics, University of Mosul
2008-06-01
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| Series: | المجلة العراقية للعلوم الاحصائية |
| Online Access: | https://stats.mosuljournals.com/article_31516_5152bf6b1c7a1c524e475447d072d062.pdf |