首页> 外文期刊>Journal of the Japan Statistical Society >SECOND ORDER ASYMPTOTIC VARIANCE OF THE BAYES ESTIMATOR OF A TRUNCATION PARAMETER FOR A ONE-SIDED TRUNCATED EXPONENTIAL FAMILY OF DISTRIBUTIONS
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SECOND ORDER ASYMPTOTIC VARIANCE OF THE BAYES ESTIMATOR OF A TRUNCATION PARAMETER FOR A ONE-SIDED TRUNCATED EXPONENTIAL FAMILY OF DISTRIBUTIONS

机译:单边截断指数族的截断参数贝叶斯估计的二阶渐近方差

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摘要

For a one-sided truncated exponential family of distributions with a truncation parameter γ and a natural parameter θ as a nuisance parameter, the stochastic expansions of the Bayes estimator (γ)Bθ when θ is known and the Bayes estimator (γ)B,(θ)ML plugging the maximum likelihood estimator (MLE) θML in θ of (γ)B,θ when θ is unknown are derived. The second order asymptotic loss of (γ)B,(θ)ML relative to (γ)B,θ is also obtained through their asymptotic variances. Further, it is shown that (γ)B,θ and (γ)B,(θ)ML are second order asymptotically equivalent to the bias-adjusted MLEs (γ)ML*, θ and (γ)ML* when 9 is known and when 9 is unknown, respectively. Some examples are also given.
机译:对于具有截断参数γ和自然参数θ作为扰动参数的单边截断指数族分布,当已知θ时,Bayes估计量(γ)Bθ和Bayes估计量(γ)B,(推导在未知的情况下,将(γ)B,θ的θ插入最大似然估计器(MLE)θML的θ)ML。相对于(γ)B,θ的(γ)B,(θ)ML的二阶渐近损失也通过它们的渐近方差获得。此外,当已知9时,表明(γ)B,θ和(γ)B,(θ)ML渐近等效于经偏置调整的MLE(γ)ML *,θ和(γ)ML *和9未知时。还给出了一些例子。

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