Skewness-kurtosis adjusted confidence estimators and significance tests

Wolf-Dieter Richter

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arXiv · 1504.02553

Skewness-kurtosis adjusted confidence estimators and significance tests

Wolf-Dieter Richter

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Abstract

First and second kind modifications of usual confidence intervals for estimating the expectation and of usual local alternative parameter choices are introduced in a way such that the asymptotic behavior of the true non-covering probabilities and the covering probabilities under the modified local non-true parameter assumption can be asymptotically exactly controlled. The orders of convergence to zero of both types of probabilities are assumed to be suitably bounded below according to an Osipov-type condition and the sample distribution is assumed to satisfy a corresponding tail condition due to Linnik. Analogous considerations are presented for the power function when testing a hypothesis concerning the expectation both under the assumption of a true hypothesis as well as under a modified local alternative. Applications are given for exponential families.

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Wolf-Dieter Richter. 2015-04-10. Skewness-kurtosis adjusted confidence estimators and significance tests. https://arxiv.org/abs/1504.02553

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