This paper discussed Bayesian variable selection methods for models from split-plot mixture designs using samples Metropolis-Hastings within the Gibbs sampling algorithm. is easy to implement due improvement in computing via MCMC sampling. We described methodology by introducing framework, and explaining Markov Chain Monte Carlo (MCMC) The was used draw dependent full conditional distributions ...