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.
Digital Object Identifier (DOI)
Rashad, A.; Yusuf, M.; and Moheb, Sara
"Approximate Bayes Estimators of The Inverted Kumarswamy Distribution Parameters Based on Progressive Type-II Censoring Scheme,"
Journal of Statistics Applications & Probability: Vol. 8
, Article 4.
Available at: https://dc.naturalspublishing.com/jsap/vol8/iss3/4