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- W4319150221 abstract "In this paper, Bayesian and non-Bayesian estimation of the inverted Topp-Leone distribution shape parameter are studied when the sample is complete and random censored. The maximum likelihood estimator (MLE) and Bayes estimator of the unknown parameter are proposed. The Bayes estimates (BEs) have been computed based on the squared error loss (SEL) function and using Markov Chain Monte Carlo (MCMC) techniques. The asymptotic, bootstrap (p,t), and highest posterior density intervals are computed. The Metropolis Hasting algorithm is proposed for Bayes estimates. Monte Carlo simulation is performed to compare the performances of the proposed methods and one real data set has been analyzed for illustrative purposes." @default.
- W4319150221 created "2023-02-04" @default.
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- W4319150221 date "2021-12-06" @default.
- W4319150221 modified "2023-09-29" @default.
- W4319150221 title "Inverted Topp-Leone Distribution: Contribution to a Family of J-Shaped Frequency Functions in Presence of Random Censoring" @default.
- W4319150221 doi "https://doi.org/10.13052/jrss0974-8024.14212" @default.
- W4319150221 hasPublicationYear "2021" @default.
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