| Revista: | Anais da Academia Brasileira de Ciencias |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000412211 |
| ISSN: | 0001-3765 |
| Autores: | Lima, Maria do Carmo S1 Cordeiro, Gauss M1 Nascimento, Abraao D.C1 Silva, Kassio F1 |
| Instituciones: | 1Universidade Federal de Pernambuco, Departamento de Estatistica, Recife, Pernambuco. Brasil |
| Año: | 2017 |
| Periodo: | Sep |
| Volumen: | 89 |
| Número: | 3 |
| Paginación: | 1343-1368 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | New generators are required to define wider distributions for modeling real data in survival analysis. To that end we introduce the four-parameter generalized beta-generated Lindley distribution. It has explicit expressions for the ordinary and incomplete moments, mean deviations, generating and quantile functions. We propose a maximum likelihood procedure to estimate the model parameters, which is assessed through a Monte Carlo simulation study. We also derive an additional estimation scheme by means of least square between percentiles. The usefulness of the proposed distribution to describe remission times of cancer patients is illustrated by means of an application to real data |
| Disciplinas: | Matemáticas |
| Palabras clave: | Matemáticas aplicadas, Estadística, Distribución univariada, Tiempo de remisión, Modelo extendido de Lindley, Función cuantil, Función de Lambert |
| Keyword: | Mathematics, Applied mathematics, Statistics, Univariate distribution, Remission time, Extended Lindley model, Quantile function, Lambert function |
| Texto completo: | Texto completo (Ver HTML) |
