Revista: | Anais da Academia Brasileira de Ciencias |
Base de datos: | PERIÓDICA |
Número de sistema: | 000424327 |
ISSN: | 0001-3765 |
Autores: | Peña Ramirez, Fernando A1 Guerra, Renata R1 Cordeiro, Gauss M2 Marinho, Pedro R.D3 |
Instituciones: | 1Universidade Federal de Santa Maria, Departamento de Estatistica, Santa Maria, Rio Grande do Sul. Brasil 2Universidade Federal de Pernambuco, Departamento de Estatistica, Recife, Pernambuco. Brasil 3Universidade Federal da Paraiba, Departamento de Estatistica, Joao Pessoa, Paraiba. Brasil |
Año: | 2018 |
Periodo: | Sep |
Volumen: | 90 |
Número: | 3 |
Paginación: | 2553-2578 |
País: | Brasil |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Experimental, aplicado |
Resumen en inglés | We propose a new lifetime model called the exponentiated power generalized Weibull (EPGW) distribution, which is obtained from the exponentiated family applied to the power generalized Weibull (PGW) distribution. It can also be derived from a power transform on an exponentiated Nadarajah-Haghighi random variable. Since several structural properties of the PGW distribution have not been studied, they can be obtained from those of the EPGW distribution. The model is very flexible for modeling all common types of hazard rate functions. It is a very competitive model to the well-known Weibull, exponentiated exponential and exponentiated Weibull distributions, among others. We also give a physical motivation for the new distribution if the power parameter is an integer. Some of its mathematical properties are investigated. We discuss estimation of the model parameters by maximum likelihood and provide two applications to real data. A simulation study is performed in order to examine the accuracy of the maximum likelihood estimators of the model parameters |
Disciplinas: | Matemáticas |
Palabras clave: | Matemáticas aplicadas, Distribución exponencial, Función de sobrevivencia, Distribución Weibull |
Keyword: | Applied mathematics, Exponential distribution, Weibull distribution, Survival function |
Texto completo: | Texto completo (Ver HTML) |