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Parameters estimation for weibull distributed lifetimes under progressive censoring with random removeals

Parameters estimation for weibull distributed lifetimes under progressive censoring with random... This paper considers the estimation problem when lifetimes are Weibull distributed and are collected under a Type-II progressive censoring with random removals, where the number of units removed at each failure time follows a uniform discrete distribution. The expected time of this censoring plan is discussed and compared numerically to that under a Type II censoring without removal. Maximum likelihood estimator of the parameters and their asymptotic variances are derived. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Statistical Computation and Simulation Taylor & Francis

Parameters estimation for weibull distributed lifetimes under progressive censoring with random removeals

Parameters estimation for weibull distributed lifetimes under progressive censoring with random removeals

Journal of Statistical Computation and Simulation , Volume 55 (1-2): 15 – Sep 1, 1996

Abstract

This paper considers the estimation problem when lifetimes are Weibull distributed and are collected under a Type-II progressive censoring with random removals, where the number of units removed at each failure time follows a uniform discrete distribution. The expected time of this censoring plan is discussed and compared numerically to that under a Type II censoring without removal. Maximum likelihood estimator of the parameters and their asymptotic variances are derived.

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References (7)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1563-5163
eISSN
0094-9655
DOI
10.1080/00949659608811749
Publisher site
See Article on Publisher Site

Abstract

This paper considers the estimation problem when lifetimes are Weibull distributed and are collected under a Type-II progressive censoring with random removals, where the number of units removed at each failure time follows a uniform discrete distribution. The expected time of this censoring plan is discussed and compared numerically to that under a Type II censoring without removal. Maximum likelihood estimator of the parameters and their asymptotic variances are derived.

Journal

Journal of Statistical Computation and SimulationTaylor & Francis

Published: Sep 1, 1996

Keywords: Type-II Censoring; Progressive Censoring; Random Removals; Weibull Distribution; Expected Time; Asymptotic Variances

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