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The Lehmann type II inverse Weibull distribution in the presence of censored data.

Authors :
Tomazella, Vera L. D.
Ramos, Pedro L.
Ferreira, Paulo H.
Mota, Alex L.
Louzada, Francisco
Source :
Communications in Statistics: Simulation & Computation. 2022, Vol. 51 Issue 12, p7057-7073. 17p.
Publication Year :
2022

Abstract

In this article, we investigate the mathematical properties of the Lehmann type II inverse Weibull distribution. We show that this model is a reparameterized version of the Kumaraswamy-inverse Weibull distribution without identifiability problems. Parameter estimation is discussed using maximum likelihood (ML) method under a right-censoring scheme. Furthermore, a bootstrap resampling approach is considered to reduce the bias of the ML estimates. In order to illustrate the proposed methodology, we consider a real data set related to the failure time of devices in an aircraft. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03610918
Volume :
51
Issue :
12
Database :
Academic Search Index
Journal :
Communications in Statistics: Simulation & Computation
Publication Type :
Academic Journal
Accession number :
160564756
Full Text :
https://doi.org/10.1080/03610918.2020.1823000