Statistical inference for the Burr model based on progressively censored data

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Abstract

Maximum likelihood and Bayes estimates for the two parameters and the reliability function of the Burr Type XII distribution are obtained based on progressive Type II censored samples. An approximation based on the Laplace approximation method developed by Tierney and Kadane [1] and a bivariate prior density for the two unknown parameters, suggested by Al-Hussaini and Jaheen [2] are used for obtaining the Bayes estimates. These estimates are compared via Monte Carlo simulation study. © 2002 Elsevier Science Ltd. All rights reserved.

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Ali Mousa, M. A. M., & Jaheen, Z. F. (2002). Statistical inference for the Burr model based on progressively censored data. Computers and Mathematics with Applications, 43(10–11), 1441–1449. https://doi.org/10.1016/S0898-1221(02)00110-4

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