Inference Based on Type-II Hybrid Censored Data from a Pareto Distribution

  • Çağatay Çetinkaya Bingöl University, Faculty of Economics & Administrative Sciences, Department of Business Administration, 12000, Bingöl, Turkey
Keywords: Bayesian Inference, Maximum-Likelihood, Pareto Distribution, Hybrid Censoring

Abstract

The Pareto distribution takes part in life-testing experiments as a finite range distribution. In this study, inference studies for the scale and shape parameters of the Pareto distribution under type-II hybrid censoring scheme are considered. The main reason for choosing this censoring scheme is its advantage of guaranteeing at least particular failures to be observed by the end of the experiment. Maximum likelihood and Bayes estimation methods are used with their approximate confidence intervals. Proposed estimation methods are compared numerically based on simulation studies. A numerical example is also used to illustrate the theoretical outcomes.

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Author Biography

Çağatay Çetinkaya, Bingöl University, Faculty of Economics & Administrative Sciences, Department of Business Administration, 12000, Bingöl, Turkey

Çağatay Çetinkaya has received his B.Sc. in Statistics from Anadolu University, Turkey; M.Sc. and Ph.D. degrees in Statistics from Çukurova University, Turkey. His research areas are distribution theory, censored data, reliability theory, order statistics and statistical computing. Dr. Çetinkaya is currently studying as a research assistant in Department of Business Administration of Bingöl University, Turkey.

Published
2020-12-30
Section
Articles