Al-Fattah, A. M. Abd and El-Kader, R. E. Abd and El-Helbawy, A. A. and Al-Dayian, G. R. (2021) Bayesian Estimation and Prediction for Exponentiated Generalized Inverted Kumaraswamy Distribution Based on Dual Generalized Order Statistics. Journal of Advances in Mathematics and Computer Science, 36 (1). pp. 94-111. ISSN 2456-9968
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Abstract
In this paper, the shape parameters, reliability and hazard rate functions of the exponentiated generalized inverted Kumaraswamy distribution are estimated using Bayesian approach. The Bayes estimators are derived under the squared error loss function and the linear-exponential loss function based on dual generalized order statistics. Credible intervals for the parameters, reliability and hazard rate functions are obtained. The Bayesian prediction (point and interval) for a future observation of the exponentiated generalized inverted Kumaraswamy distribution is obtained based on dual generalized order statistics. All results are specialized to lower record values and a numerical study is presented. Moreover, the theoretical results are applied on three real data sets.
Item Type: | Article |
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Subjects: | South Asian Library > Mathematical Science |
Depositing User: | Unnamed user with email support@southasianlibrary.com |
Date Deposited: | 17 Feb 2023 11:14 |
Last Modified: | 29 Jun 2024 12:26 |
URI: | http://journal.repositoryarticle.com/id/eprint/102 |