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- W2748337170 abstract "In this paper, we deal with the problem of estimating the reliability function of the two-parameter exponential distribution. Classical Maximum likelihood and Bayes estimates for one and two parameters and the reliability function are obtained on the basis of progressively type-II censored samples. The inverted gamma conjugate prior density is assumed for the one-parameter case, whereas the joint prior density of the two-parameter case is composed of the inverted gamma and the uniform densities. A comparison between the obtained estimators is made through a Monte Carlo simulation study. A real example is used to illustrate the proposed methods." @default.
- W2748337170 created "2017-08-31" @default.
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- W2748337170 date "2018-02-01" @default.
- W2748337170 modified "2023-09-26" @default.
- W2748337170 title "Reliability Estimation for the Two-Parameter Exponential Family Based on Progressively Type-II Censored Data" @default.
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- W2748337170 doi "https://doi.org/10.1142/s0218539318500055" @default.
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