Bayesian Estimation of the Scale Parameter of the Weimal Distribution
Tajan Mashingil Mabur, Aisha Omale, Ahmed Lawal, Mustapha Mohammed Dewu, Sa’ad Mohammed
Asian Journal of Probability and Statistics · pp. 1–9 · Published 30 Jan 2019
10.9734/ajpas/2018/v2i429944Abstract
This article aims at estimating the scale parameter of the Weimal distribution using Bayesian method and comparing the estimators obtained to the estimator of the scale parameter obtained from the method of maximum likelihood. Under Bayesian approach, the estimators are obtained by using uniform prior and Jeffrey’s prior with the adoption of the precautionary, quadratic and square error loss functions. A derivation and discussion2ws under maximum likelihood estimation is also done. The above methods of estimation employed in this paper are compared based on their mean square errors (MSEs) through a simulation study carried out in R statistical software with different sample sizes. The results indicate that the most appropriate method for the scale parameter is precautionary loss function under either uniform or Jeffrey’s prior irrespective of the sample sizes allocated and the values taken by the other parameters.
Cited by 3
I. B. Eraikhuemen, F. B. Mohammed, Ahmed Askira Sule · Asian Journal of Probability and Statistics · 2020
I. B. Eraikhuemen, O. Bamigbala, U. A. Magaji · 2020
Terna Godfrey Ieren, Adana’a Felix Chama, O. Bamigbala · 2020
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