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- W2898899608 abstract "In this article, the problem of estimating unknown parameters of the inverted kumaraswamy (IKum) distribution is considered based on general progressive Type-II censored Data. The maximum likelihood (MLE) estimators of the parameters are obtained while the Bayesian estimates are obtained using the squared error loss(SEL) as symmetric loss function. Also we used asymmetric loss functions as the linear-exponential loss (LINEX), generalized entropy (GE) and Al-Bayyati loss function (AL-Bayyati). Lindelys approximation method is used to evaluate the Bayes estimates. We also derived an approximate confidence interval for the parameters of the inverted Kumaraswamy distribution. Two-sample Bayesian prediction intervals are constructed with an illustrative example. Finally, simulation study concerning different sample sizes and different censoring schemes were reported." @default.
- W2898899608 created "2018-11-09" @default.
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- W2898899608 date "2018-09-22" @default.
- W2898899608 modified "2023-10-02" @default.
- W2898899608 title "On Estimation and Prediction for the Inverted Kumaraswamy Distribution Based on General Progressive Censored Samples" @default.
- W2898899608 doi "https://doi.org/10.18187/pjsor.v14i3.2103" @default.
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