Outlier detection in 2 × 2 crossover design using Bayesian framework
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 fra...
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| Format: | Article |
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Penerbit Universiti Kebangsaan Malaysia
2019
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| Online Access: | http://journalarticle.ukm.my/13393/ http://journalarticle.ukm.my/13393/ http://journalarticle.ukm.my/13393/1/22%20F.P.%20Lim.pdf |
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ukm-13393 |
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ukm-133932019-09-20T23:05:28Z http://journalarticle.ukm.my/13393/ Outlier detection in 2 × 2 crossover design using Bayesian framework Lim, F.P. I.B. Mohamed, A.I.N. Ibrahim, Goh, S.L. N.A. Mohamed @ A. Rahman, 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. Penerbit Universiti Kebangsaan Malaysia 2019-04 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/13393/1/22%20F.P.%20Lim.pdf 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 http://www.ukm.my/jsm/malay_journals/jilid48bil4_2019/KandunganJilid48Bil4_2019.html |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Kebangasaan Malaysia |
| building |
UKM Institutional Repository |
| collection |
Online Access |
| language |
English |
| description |
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. |
| format |
Article |
| author |
Lim, F.P. I.B. Mohamed, A.I.N. Ibrahim, Goh, S.L. N.A. Mohamed @ A. Rahman, |
| spellingShingle |
Lim, F.P. I.B. Mohamed, A.I.N. Ibrahim, Goh, S.L. N.A. Mohamed @ A. Rahman, Outlier detection in 2 × 2 crossover design using Bayesian framework |
| author_facet |
Lim, F.P. I.B. Mohamed, A.I.N. Ibrahim, Goh, S.L. N.A. Mohamed @ A. Rahman, |
| author_sort |
Lim, F.P. |
| title |
Outlier detection in 2 × 2 crossover design using Bayesian framework |
| title_short |
Outlier detection in 2 × 2 crossover design using Bayesian framework |
| title_full |
Outlier detection in 2 × 2 crossover design using Bayesian framework |
| title_fullStr |
Outlier detection in 2 × 2 crossover design using Bayesian framework |
| title_full_unstemmed |
Outlier detection in 2 × 2 crossover design using Bayesian framework |
| title_sort |
outlier detection in 2 × 2 crossover design using bayesian framework |
| publisher |
Penerbit Universiti Kebangsaan Malaysia |
| publishDate |
2019 |
| url |
http://journalarticle.ukm.my/13393/ http://journalarticle.ukm.my/13393/ http://journalarticle.ukm.my/13393/1/22%20F.P.%20Lim.pdf |
| first_indexed |
2023-09-18T20:04:45Z |
| last_indexed |
2023-09-18T20:04:45Z |
| _version_ |
1777407084030066688 |