| Autor: |
Tomazella, Vera L. D., Ramos, Pedro L., Ferreira, Paulo H., Mota, Alex L., Louzada, Francisco |
| Předmět: |
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| Zdroj: |
Communications in Statistics: Simulation & Computation; 2022, Vol. 51 Issue 12, p7057-7073, 17p |
| Abstrakt: |
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] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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