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pro vyhledávání: '"Bruno Caparroz Lopes de Freitas"'
Autor:
Bruno Caparroz Lopes de Freitas, Jorge Alberto Achcar, Marcos Vinicius de Oliveira Peres, Edson Zangiacomi Martinez
Publikováno v:
Statistics, Optimization & Information Computing. 10:1168-1186
The statistical literature presents many continuous probability distributions with only one parameter, which are extensively used in the analysis of lifetime data, such as the exponential, the Lindley, and the Rayleigh distributions. Alternatively, t
Autor:
Edson Zangiacomi Martinez, Bruno Caparroz Lopes de Freitas, Jorge Alberto Achcar, Davi Casale Aragon, Marcos Vinicius de Oliveira Peres
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Cure fraction models have been widely used to analyze survival data in which a proportion of the individuals isnot susceptible to the event of interest. This article considers frequentist and Bayesian methods to estimate the unknown model parameters
Autor:
Edson Zangiacomi Martinez, Bruno Caparroz Lopes de Freitas, Marcos Vinicius de Oliveira Peres, Jorge Alberto Achcar
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In this paper, we introduce maximum likelihood and Bayesian parameter estimation for the exponentiated discrete Weibull (EDW) distribution in presence of randomly right censored data. We also consider the inclusion of a cure fraction in the model. Th