The McDonald extended distribution: properties and applications
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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| Data(s) |
05/11/2013
05/11/2013
2012
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| Resumo |
We study a five-parameter lifetime distribution called the McDonald extended exponential model to generalize the exponential, generalized exponential, Kumaraswamy exponential and beta exponential distributions, among others. We obtain explicit expressions for the moments and incomplete moments, quantile and generating functions, mean deviations, Bonferroni and Lorenz curves and Gini concentration index. The method of maximum likelihood and a Bayesian procedure are adopted for estimating the model parameters. The applicability of the new model is illustrated by means of a real data set. FAPESP FAPESP [2010/04496-2] CNPq, Brazil CNPq (Brazil) |
| Identificador |
ASTA-ADVANCES IN STATISTICAL ANALYSIS, NEW YORK, v. 96, n. 3, supl. 1, Part 2, pp. 409-433, JUL, 2012 1863-8171 http://www.producao.usp.br/handle/BDPI/41348 10.1007/s10182-011-0180-3 |
| Idioma(s) |
eng |
| Publicador |
SPRINGER NEW YORK |
| Relação |
ASTA-ADVANCES IN STATISTICAL ANALYSIS |
| Direitos |
restrictedAccess Copyright SPRINGER |
| Palavras-Chave | #EXTENDED EXPONENTIAL DISTRIBUTION #GENERALIZED EXPONENTIAL DISTRIBUTION #KUMARASWAMY DISTRIBUTION #MAXIMUM LIKELIHOOD ESTIMATION #MCDONALD DISTRIBUTION #MCDONALD EXTENDED EXPONENTIAL MODEL #MEAN DEVIATION #MOMENT GENERATING FUNCTION #QUANTILE FUNCTION #WEIBULL-DISTRIBUTION #FAMILY #STATISTICS & PROBABILITY |
| Tipo |
article original article publishedVersion |
