基于能量统计的偏态正态的拟合优度检验

IF 0.3 Q4 STATISTICS & PROBABILITY

Random Operators and Stochastic Equations Pub Date : 2020-08-15 DOI:10.1515/rose-2020-2042

Logan Opperman, Wei Ning

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引用次数: 1

摘要

摘要本文提出了一种基于能量统计量的偏态正态拟合优度检验方法。仿真结果表明，对于给定的标称电平，所提出的测试的i型误差可以得到较好的控制。与其他现有方法在不同设置下的功率比较显示了所提出测试的优势。这样的测试应用于两个真实的数据集来说明测试过程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Goodness-of-fit test for skew normality based on energy statistics

Abstract In this paper, we propose a goodness-of-fit test based on the energy statistic for skew normality. Simulations indicate that the Type-I error of the proposed test can be controlled reasonably well for given nominal levels. Power comparisons to other existing methods under different settings show the advantage of the proposed test. Such a test is applied to two real data sets to illustrate the testing procedure.

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来源期刊

Random Operators and Stochastic Equations STATISTICS & PROBABILITY-

CiteScore

0.60

自引率

25.00%

发文量