The inverse power Lindley distribution
| Autor: | Josmar Mazucheli, Kelly Vanessa Parede Barco, Vanderly Janeiro |
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| Rok vydání: | 2016 |
| Předmět: |
Statistics and Probability
Generalization Monte Carlo method Inverse Estimator 02 engineering and technology 01 natural sciences Power (physics) 010104 statistics & probability Distribution (mathematics) Modeling and Simulation Statistics 0202 electrical engineering electronic engineering information engineering Statistics::Methodology Probability distribution 020201 artificial intelligence & image processing 0101 mathematics Inverse distribution Mathematics |
| Zdroj: | Communications in Statistics - Simulation and Computation. 46:6308-6323 |
| ISSN: | 1532-4141 0361-0918 |
| DOI: | 10.1080/03610918.2016.1202274 |
| Popis: | Several probability distributions have been proposed in the literature, especially with the aim of obtaining models that are more flexible relative to the behaviors of the density and hazard rate functions. Recently, a new generalization of the Lindley distribution was proposed by Ghitany et al. (2013), called power Lindley distribution. Another generalization was proposed by Sharma et al. (2015a), known as inverse Lindley distribution. In this paper a distribution is obtained from these two generalizations and named as inverse power Lindley distribution. Some properties of this distribution and study of the behavior of maximum likelihood estimators are presented and discussed. It is also applied considering two real data sets and compared with the fits obtained for already-known distributions. When applied, the inverse power Lindley distribution was found to be a good alternative for modeling survival data. |
| Databáze: | OpenAIRE |
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