PARAMETER ESTIMATION IN WEIBULL DISTRIBUTION ON PROGRESSIVELY TYPE-II CENSORED SAMPLE WITH BETA-BINOMIAL REMOVALS

Ilhan Usta and Hanefi Gezer

Economy & Business Journal, 2016, vol. 10, issue 1, 505-515

Abstract: In this article, the estimation of parameters based on progressively type-II censored sample with random removals from the Weibull distribution is studied. The number of units removed at each failure time is assumed to follow a Beta-binomial distribution. Based on this type of censored sample, the maximum likelihood (ML) and approximate maximum likelihood (AML) estimators for the parameters of the Weibull distribution are derived. A Monte Carlo simulation study is also conducted to compare the performance of ML and AML estimators under progressively type-II censoring with the different random schemes.

Keywords: weibull distribution; maximum likelihood estimator; approximate maximum likelihood estimator; progressively censoring type-ii with random removals; be (search for similar items in EconPapers)
JEL-codes: A (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:isp:journl:v:10:y:2016:i:1:p:505-515

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