2021
DOI: 10.9734/jamcs/2021/v36i130334
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Bayesian Estimation and Prediction for Exponentiated Generalized Inverted Kumaraswamy Distribution Based on Dual Generalized Order Statistics

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 exponentia… Show more

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Cited by 2 publications
(3 citation statements)
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References 16 publications
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“…Eraikhuemen et al [9] introduced Bayesian and maximum likelihood estimation of the shape parameter of exponential inverse exponential distribution. Abd AL-Fattah et al [1] introduced Bayesian estimation and prediction for exponentiated generalized inverted Kumaraswamy distribution based on dual generalized order statistics. Many researchers have considered prediction for future observation from different lifetime distributions.…”
Section: Introductionmentioning
confidence: 99%
“…Eraikhuemen et al [9] introduced Bayesian and maximum likelihood estimation of the shape parameter of exponential inverse exponential distribution. Abd AL-Fattah et al [1] introduced Bayesian estimation and prediction for exponentiated generalized inverted Kumaraswamy distribution based on dual generalized order statistics. Many researchers have considered prediction for future observation from different lifetime distributions.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, it is employed in financial literature, environmental studies, and survival and reliability theory. Many researchers studied the inverted distributions and their applications; for example, [14] introduced the inverse Weibull, [4] reviewed the inverted Burr Type XII distribution, [2] discussed inverted Pareto Type I distribution, [5] described the inverted Pareto Type II distribution, [35] presented inverted exponential model, [6] studied the exponentiated inverted Weibull distribution and [1] introduced the inverted Kumaraswamy distribution. [38] introduced The Topp-Leone (TL) distribution as an alternative to beta distribution.…”
Section: Introductionmentioning
confidence: 99%
“…where β is the shape parameter. (1) illustrates the behavior of the ITL distribution for various values of β. The survival function is given by…”
Section: Introductionmentioning
confidence: 99%