A new family of generalized distributions


Autoria(s): CORDEIRO, Gauss M.; CASTRO, Mario de
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2011

Resumo

Kumaraswamy [Generalized probability density-function for double-bounded random-processes, J. Hydrol. 462 (1980), pp. 79-88] introduced a distribution for double-bounded random processes with hydrological applications. For the first time, based on this distribution, we describe a new family of generalized distributions (denoted with the prefix `Kw`) to extend the normal, Weibull, gamma, Gumbel, inverse Gaussian distributions, among several well-known distributions. Some special distributions in the new family such as the Kw-normal, Kw-Weibull, Kw-gamma, Kw-Gumbel and Kw-inverse Gaussian distribution are discussed. We express the ordinary moments of any Kw generalized distribution as linear functions of probability weighted moments (PWMs) of the parent distribution. We also obtain the ordinary moments of order statistics as functions of PWMs of the baseline distribution. We use the method of maximum likelihood to fit the distributions in the new class and illustrate the potentiality of the new model with an application to real data.

CNPq, Brazil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Identificador

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v.81, n.7, p.883-898, 2011

0094-9655

http://producao.usp.br/handle/BDPI/28896

10.1080/00949650903530745

http://dx.doi.org/10.1080/00949650903530745

Idioma(s)

eng

Publicador

TAYLOR & FRANCIS LTD

Relação

Journal of Statistical Computation and Simulation

Direitos

restrictedAccess

Copyright TAYLOR & FRANCIS LTD

Palavras-Chave #gamma distribution #Kumaraswamy distribution #moments #normal distribution #order statistics #Weibull distribution #PROBABILITY DENSITY-FUNCTION #ORDER-STATISTICS #YIELD #MOMENTS #Computer Science, Interdisciplinary Applications #Statistics & Probability
Tipo

article

original article

publishedVersion