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The Lehmann type II inverse Weibull distribution in the presence of censored data.
- 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 :
- Complementary Index
- Journal :
- Communications in Statistics: Simulation & Computation
- Publication Type :
- Academic Journal
- Accession number :
- 160564756
- Full Text :
- https://doi.org/10.1080/03610918.2020.1823000