Outlier detection in 2 × 2 crossover design using Bayesian framework

Lim, F.P. and I.B. Mohamed, and A.I.N. Ibrahim, and Goh, S.L. and N.A. Mohamed @ A. Rahman, (2019) Outlier detection in 2 × 2 crossover design using Bayesian framework. Sains Malaysiana, 48 (4). pp. 893-899. ISSN 0126-6039


Official URL: http://www.ukm.my/jsm/malay_journals/jilid48bil4_2...


We consider the problem of outlier detection method in 2×2 crossover design via Bayesian framework. We study the problem of outlier detection in bivariate data fitted using generalized linear model in Bayesian framework used by Nawama. We adapt their work into a 2×2 crossover design. In Bayesian framework, we assume that the random subject effect and the errors to be generated from normal distributions. However, the outlying subjects come from normal distribution with different variance. Due to the complexity of the resulting joint posterior distribution, we obtain the information on the posterior distribution from samples by using Markov Chain Monte Carlo sampling. We use two real data sets to illustrate the implementation of the method.

Item Type:Article
Keywords:Bayesian; Crossover design; Markov Chain Monte Carlo; Outlier
Journal:Sains Malaysiana
ID Code:13393
Deposited By: ms aida -
Deposited On:18 Sep 2019 03:22
Last Modified:20 Sep 2019 23:05

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