Título: In this paper, a progressive type I group-censoring life test for Burr XII distribution is considered. We use the maximum likelihood method to obtain the point estimators of the Burr XII parameters. The approximate confidence intervals for the parameters
Autores: Coşkun KUS; SELÇUK ÜNİVERSİTESİ
Yunus AKDOGAN
Shuo-Jye WU
Fecha: 2012-04-17
Publicador: Gazi University Journal of Science
Fuente:
Tipo: Peer-reviewed Article
Tema: statistics
D-Optimality, Grouped data, Interval censoring, Nonlinear mixed integer programming, Maximum likelihood method, Progressive censoring.
Descripción: In this paper, a progressive type I group-censoring life test for Burr XII distribution is considered. We use the maximum likelihood method to obtain the point estimators of the Burr XII parameters. The approximate confidence intervals for the parameters of Burr XII distribution are also obtained. We use modified algorithm proposed by Kus et al. [19] to decide the number of test units, number of inspections, and length of inspection interval under a restricted budget of experiment such that the determinant of the asymptotic variances-covariance of estimators of parameters is minimum. A numerical example is presented to illustrate the proposed approach. The sensitivity analysis is also investigated.
Idioma: Inglés

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