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Asymptotic results on a general classof empirical statistics: power and confidenceinterval properties

机译:一般经验统计类别的渐近结果:功效和置信区间性质

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摘要

We consider a very general class of empirical statistics that includes (a)empirical discrepancy (ED) statistics, (b) generalized empirical exponential familylikelihood statistics, (c) generalized empirical likelihood statistics, (d) empiricalstatistics arising from Bayesian considerations, and (e) Bartlett-type adjusted versionsof ED statistics. With reference to this general class, we investigate higherorder asymptotics on power and expected lengths of confidence intervals. For (b)-(e), such results have been hitherto unexplored. Furthermore, our findings helpin understanding the presently known results on the subclass (a) from a widerperspective.
机译:我们考虑一类非常普遍的经验统计,包括(a)经验差异(ED)统计,(b)广义经验指数家庭似然统计,(c)广义经验似然统计,(d)由贝叶斯考虑产生的经验统计和(e) )ED统计量的Bartlett型调整版本。参照该一般类别,我们研究幂和期望置信区间长度的高阶渐近性。对于(b)-(e),迄今尚未探索到这样的结果。此外,我们的发现有助于从更广泛的角度理解关于(a)子类的当前已知结果。

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