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Asymptotic properties and expectation-maximization algorithm for maximum likelihood estimates of the parameters from Weibull-Logarithmic model 被引量:2

Asymptotic properties and expectation-maximization algorithm for maximum likelihood estimates of the parameters from Weibull-Logarithmic model
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摘要 In this article, we consider a lifetime distribution, the Weibull-Logarithmic distri- bution introduced by [6]. We investigate some new statistical characterizations and properties. We develop the maximum likelihood inference using EM algorithm. Asymptotic properties of the MLEs are obtained and extensive simulations are conducted to assess the performance of parameter estimation. A numerical example is used to illustrate the application. In this article, we consider a lifetime distribution, the Weibull-Logarithmic distri- bution introduced by [6]. We investigate some new statistical characterizations and properties. We develop the maximum likelihood inference using EM algorithm. Asymptotic properties of the MLEs are obtained and extensive simulations are conducted to assess the performance of parameter estimation. A numerical example is used to illustrate the application.
出处 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2016年第4期425-438,共14页 高校应用数学学报(英文版)(B辑)
基金 Supported by the program for the Fundamental Research Funds for the Central Universities(2014RC042,2015JBM109)
关键词 Maximum likelihood estimate EM algorithm Fisher information Order statistics Asymptoticproperties. Maximum likelihood estimate, EM algorithm, Fisher information, Order statistics, Asymptoticproperties.
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