| dc.creator | Bourguignon, Marcelo | |
| dc.creator | Leão, Jeremias | |
| dc.creator | Leiva, Víctor | |
| dc.creator | Santos-Neto, Manoel | |
| dc.date | 2023-01-16T19:05:01Z | |
| dc.date | 2023-01-16T19:05:01Z | |
| dc.date | 2017-10 | |
| dc.date.accessioned | 2023-09-04T13:31:47Z | |
| dc.date.available | 2023-09-04T13:31:47Z | |
| dc.identifier | BOURGUIGNON, M.; et al. The transmuted birnbaum-saunders distribuition. Revstat-Statistical Journal, v. 15, p. 601-628, 2017. Disponível em: https://www.ine.pt/revstat/pdf/REVSTAT_v15-n4-8.pdf. Acesso em: 07 dez. 2017 | |
| dc.identifier | https://repositorio.ufrn.br/handle/123456789/50956 | |
| dc.identifier | https://doi.org/10.57805/revstat.v15i4.229 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8602354 | |
| dc.description | The Birnbaum–Saunders distribution has been largely studied and applied because
of its attractive properties. We introduce a transmuted version of this distribution.
Various of its mathematical and statistical features are derived. We use the maximum
likelihood method for estimating its parameters and determine the score vector and
Hessian matrix for inference and diagnostic purposes. We evaluate the performance
of the maximum likelihood estimators by a Monte Carlo study. We illustrate the potential
applications of the new transmuted Birnbaum–Saunders distribution by means
of three real-world data sets from different areas. | |
| dc.format | application/pdf | |
| dc.language | en | |
| dc.publisher | Revstat Statistical Journal | |
| dc.rights | Acesso Aberto | |
| dc.subject | Data analysis | |
| dc.subject | Likelihood methods | |
| dc.subject | Monte Carlo simulations | |
| dc.subject | Ox and R softwares | |
| dc.subject | Transmutation map | |
| dc.title | The transmuted birnbaum-saunders distribuition | |
| dc.type | article | |
