| dc.creator | Martinez Florez, Guillermo | |
| dc.creator | Olmos, Neveka M. | |
| dc.creator | Venegas, Osvaldo | |
| dc.date | 2022 | |
| dc.date | 2022-06-06T21:30:41Z | |
| dc.date | 2022-06-06T21:30:41Z | |
| dc.date.accessioned | 2022-10-18T14:53:01Z | |
| dc.date.available | 2022-10-18T14:53:01Z | |
| dc.identifier | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION,Vol.,2022 | |
| dc.identifier | https://repositoriodigital.uct.cl/handle/10925/4581 | |
| dc.identifier | 10.1080/03610918.2022.2069260 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4444303 | |
| dc.description | In this paper, we consider a transformation in a random variable which follows a bimodal Birnbaum-Saunders distribution. We propose the unit-bimodal Birnbaum-Saunders (UBBS) distribution and investigate some of its important properties, like cumulative distribution function, moments, survival function and risk function. We apply the UBBS distribution to censored data inflated at zero and one. We used the maximum likelihood approach for parameter estimation and to compare the models. Given the flexibility in UBBS distribution modes, our proposal performs best in beta regression models with zero and/or one excess. | |
| dc.language | en | |
| dc.publisher | TAYLOR & FRANCIS INC | |
| dc.source | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | |
| dc.subject | Censoring | |
| dc.subject | Maximum likelihood estimation | |
| dc.subject | Birnbaum-Saunders distribution | |
| dc.subject | Regression model | |
| dc.title | Unit-bimodal Birnbaum-Saunders distribution with applications | |
