Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values

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...

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Estimating a Bounded Normal Mean Under the LINEX Loss Function

Let X be a random variable from a normal distribution with unknown mean θ and known variance σ2. In many practical situations, θ is known in advance to lie in an interval, say [−m,m], for some m > 0. As the usual estimator of θ, i.e., X under the LINEX loss function is inadmissible, finding some competitors for X becomes worthwhile. The only study in the literature considered the problem of min...

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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 Carlo si...

متن کامل

Estimating a Bounded Normal Mean Under the LINEX Loss Function

Let X be a random variable from a normal distribution with unknown mean θ and known variance σ2. In many practical situations, θ is known in advance to lie in an interval, say [−m,m], for some m > 0. As the usual estimator of θ, i.e., X under the LINEX loss function is inadmissible, finding some competitors for X becomes worthwhile. The only study in the literature considered the problem of min...

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Statistical Inference Based on Upper Record Values

The goal of this thesis is to examine methods of statistical inference based on upper record values. This includes estimation of parameters based on samples of record values and prediction of future record values. We first define and discuss record times and record values and their distributions. Then we propose an efficient algorithm to generate random samples of record values. The algorithm, ...

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Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values

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منابع مشابه

Bayesian Estimation for the Pareto Income Distribution under Asymmetric LINEX Loss Function

Estimating a Bounded Normal Mean Under the LINEX Loss Function

Bayesian Estimation for the Pareto Income Distribution under Asymmetric LINEX Loss Function

Estimating a Bounded Normal Mean Under the LINEX Loss Function

Statistical Inference Based on Upper Record Values

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