| Full text | |
| Author(s): |
Tomazella, Vera L. D.
;
Ramos, Pedro L.
;
Ferreira, Paulo H.
;
Mota, Alex L.
;
Louzada, Francisco
Total Authors: 5
|
| Document type: | Journal article |
| Source: | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION; v. 51, n. 12, p. 17-pg., 2020-09-23. |
| 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. (AU) | |
| FAPESP's process: | 17/25971-0 - Statistical inference of complex systems |
| Grantee: | Pedro Luiz Ramos |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |