International Scientific Publications
© 2007-2025 Science Events Ltd
Terms of Use  ·  Privacy Policy
Language English French Polish Romanian Bulgarian
Conference room
Economy & Business 2025, 24th International Conference
17-20 August, Burgas, Bulgaria
Call for Papers

Economy & Business, Volume 10, 2016

PARAMETER ESTIMATION IN WEIBULL DISTRIBUTION ON PROGRESSIVELY TYPE-II CENSORED SAMPLE WITH BETA-BINOMIAL REMOVALS
Ilhan Usta, Hanefi Gezer
Pages: 505-515
Published: 28 Aug 2016
Views: 1,929
Downloads: 899
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
Cite this article: Ilhan Usta, Hanefi Gezer. PARAMETER ESTIMATION IN WEIBULL DISTRIBUTION ON PROGRESSIVELY TYPE-II CENSORED SAMPLE WITH BETA-BINOMIAL REMOVALS. Journal of International Scientific Publications: Economy & Business 10, 505-515 (2016). https://www.scientific-publications.net/en/article/1001262/
Back to the contents of the volume

Submit Feedback

We value your input! Use this form to report any concerns or provide feedback on our published articles. All submissions will be kept confidential.

By using this site you agree to our Privacy Policy and Terms of Use. We use cookies, including for analytics, personalisation, and ads.