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SECOND ORDER ASYMPTOTIC LOSS OF THE MLE OF A TRUNCATION PARAMETER FOR A TWO-SIDED TRUNCATED EXPONENTIAL FAMILY OF DISTRIBUTIONS

机译:两部分截断指数族的截断参数MLE的二阶渐近损失

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摘要

For a one-sided truncated exponential family of distributions with a truncation parameter and a natural parameter as a nuisance parameter, it is shown by Akahira and Ohyauchi (2016) that the second order asymptotic loss of a bias-adjusted maximum likelihood estimator (MLE) of a truncation parameter for unknown natural parameter relative to a bias-adjusted MLE of a truncation parameter for known natural parameter is obtained. In this paper, in a similar way to Akahira and Ohyauchi (2016), for a two-sided truncated exponential family of distributions with a natural parameter and lower and upper truncation parameters, the stochastic expansions of the bias-adjusted MLE of an upper truncation parameter for known natural and lower truncation parameters, the bias-adjusted MLE of an upper truncation parameter for unknown natural parameter and known lower truncation parameter and the bias-adjusted MLE of an upper truncation parameter for unknown natural and lower truncation parameters are derived, their asymptotic variances are given, and the second order asymptotic losses of the MLEs of an upper truncation parameter for unknown natural parameter and known/unknown lower truncation parameter relative to the MLE of an upper truncation parameter for known natural and lower truncation parameters are also obtained. Further, some examples including an upper-truncated Pareto case are given.
机译:对于具有截断参数和自然参数作为扰动参数的单边截断指数族分布,Akahira和Ohyauchi(2016)表明,经偏差调整的最大似然估计器(MLE)的二阶渐近损失获得未知自然参数的截断参数相对于已知自然参数的截断参数的偏差调整后的MLE的系数。本文以类似于Akahira和Ohyauchi(2016)的方式,针对具有自然参数和上下截断参数的两边截断的指数族分布,对上截断的偏差调整后的MLE进行了随机扩展推导已知的自然和较低的截断参数的参数,针对未知的自然参数和已知的下截断参数的上截断参数的偏差调整后的MLE,以及未知的自然和较低的截断参数的上截断参数的偏差调整后的MLE,给出了渐近方差,并且还获得了相对于已知自然和较低截断参数的上截断参数的MLE的未知自然参数和已知/未知较低截断参数的上截断参数的MLE的二阶渐近损失。此外,给出了包括高截断的帕累托情况的一些示例。

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