Statistical inference for the Burr model based on progressively censored data

MAMA Mousa; Z F Jaheen

doi:10.1016/S0898-1221(02)00110-4

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Statistical inference for the Burr model based on progressively censored data

Journal article

Peer reviewed

Statistical inference for the Burr model based on progressively censored data

MAMA Mousa and Z F Jaheen

Computers & mathematics with applications (1987), Vol.43(10-11), pp.1441-1449

01/05/2002

DOI: https://doi.org/10.1016/S0898-1221(02)00110-4

Abstract

Mathematics

Mathematics, Applied

Physical Sciences

Science & Technology

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. (C) 2002 Elsevier Science Ltd. All rights reserved.

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Title: Statistical inference for the Burr model based on progressively censored data
Creators - without role: MAMA Mousa
Z F Jaheen - Assiut University
Publication Details: Computers & mathematics with applications (1987), Vol.43(10-11), pp.1441-1449
Publisher: Elsevier
Number of pages: 9
Identifiers: 9939700508331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article