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- W2345037171 abstract "This article addresses estimation and prediction problems for the two-parameter half-logistic distribution based on pivotal quantities when a sample is available from the progressively Type-II censoring scheme. An unbiased estimator of the location parameter based on a pivotal quantity is derived. To estimate the scale parameter, a new method based on a pivotal quantity is proposed. The proposed method provides a simpler estimation equation than the maximum likelihood equation. In addition, confidence intervals for the location and scale parameters are derived from these pivotal quantities. In the prediction of censored failure times, the shortest-length predictive intervals for the censored failure times are derived using a pivotal quantity. Finally, the validity of the proposed method is assessed through Monte Carlo simulations and a real data set is presented for illustration purposes." @default.
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- W2345037171 date "2017-03-04" @default.
- W2345037171 modified "2023-09-26" @default.
- W2345037171 title "Inference for the two-parameter half-logistic distribution using pivotal quantities under progressively Type-II censoring schemes" @default.
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- W2345037171 doi "https://doi.org/10.1080/03610918.2016.1161795" @default.
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