Analyzing and solving the identifiability problem in the exponentiated generalized Weibull distribution

被引:0
|
作者
Felipe R. S. de Gusmão
Frank Gomes-Silva
Cícero C. R. de Brito
Fábio V. J. Silveira
Jader S. Jale
Sílvio F. A. Xavier-Júnior
Pedro R. D. Marinho
机构
[1] Universidade Federal Rural de Pernambuco,DEINFO
[2] Instituto Federal de Pernambuco,Departamento de Estatística
[3] Universidade Estadual da Paraíba,Departamento de Estatística
[4] Universidade Federal da Paraíba,undefined
关键词
Exponentiated; Generalized; Weibull; Identifiability; Simulation; Application; 62F10; 97K50; 97K60;
D O I
10.1186/s42787-021-00130-x
中图分类号
学科分类号
摘要
The well-known Weibull distribution can be used to model the decreasing and unimodal failure rate quite standard in reliability and biological studies. It is also commonly adopted as baseline to generate new distributions from generalized classes. In this paper, we investigate the identifiability of the exponentiated generalized class of distributions and in particular the exponentiated generalized Weibull distribution. We also develop conditions under which the model becomes identifiable. To further illustrate the identifiability issue, we consider a simulation study, and an application is presented to illustrate the potentialities of the model with the new parameterization.
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