Bayesian Estimation of Shape Parameter of Pareto Income Distribution Using LINEX Loss Function
نویسندگان
چکیده
منابع مشابه
Bayesian Estimation for the Pareto Income Distribution under Asymmetric LINEX Loss Function
The use of the Pareto distribution as a model for various socio-economic phenomena dates back to the late nineteenth century. In this paper, after some necessary preliminary results we deal with Bayes estimation of some of the parameters of interest under an asymmetric LINEX loss function, using suitable choice of priors when the scale parameter is known and unknown. Results of a Monte C...
متن کاملBayesian Estimation for the Pareto Income Distribution under Asymmetric LINEX Loss Function
The use of the Pareto distribution as a model for various socio-economic phenomena dates back to the late nineteenth century. In this paper, after some necessary preliminary results we deal with Bayes estimation of some of the parameters of interest under an asymmetric LINEX loss function, using suitable choice of priors when the scale parameter is known and unknown. Results of a Monte Carlo si...
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In this paper, a Bayesian approach is proposed for shift point detection in an inverse Gaussian distribution. In this study, the mean parameter of inverse Gaussian distribution is assumed to be constant and shift points in shape parameter is considered. First the posterior distribution of shape parameter is obtained. Then the Bayes estimators are derived under a class of priors and using variou...
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Weibull distribution is widely employed in modeling and analyzing lifetime data. The present paper considers the estimation of the scale parameter of two parameter Weibull distribution with known shape. Maximum likelihood estimation is discussed. Bayes estimator is obtained using Jeffreys’ prior under linex loss function. Relative efficiency of the estimators are calculated in small and large s...
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ژورنال
عنوان ژورنال: Communications for Statistical Applications and Methods
سال: 2007
ISSN: 2287-7843
DOI: 10.5351/ckss.2007.14.1.033