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Approximate Bayes Estimators of The Inverted Kumarswamy Distribution Parameters Based on Progressive Type-II Censoring Scheme |
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PP: 189-199 |
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doi:10.18576/jsap/080304
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Author(s) |
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A. Rashad,
M. Yusuf,
Sara Moheb,
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Abstract |
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| The purpose of this study is to estimate unknown parameters, reliability, the hazard rate, and the reversed hazard rate function of the inverted Kumaraswamy distribution based on progressively type-II censoring samples. Maximum likelihood estimators are obtained. The Bayesian estimation is studied under quadratic (squared error) and general entropy loss functions using Lindley’s approximation.Non-informative prior distributions are used for the parameters. Based on a Monte Carlo simulation study, the statistical performances of Bayes estimators based on quadratic and general entropy loss functions are compared between various estimates.
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