Sample entropy applied to test of fit for Lindley distribution and power comparison

H. A. Noughabi
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Abstract

Abstract This work is devoted to construction of goodness-of-fit test statistics for the Lindley model. The proposed test statistics are based on the sample entropy. The properties of the tests and critical points of them for various sample sizes are obtained. An empirical power comparison study is then conducted using Monte Carlo simulations, under various alternatives and for different sample sizes. The new tests exhibit good performance in terms of power in comparison to the EDF-based test statistics. A discussion of the results follows, where the best tests are selected for different classes of alternatives. Finally, a real dataset is analyzed for illustrative purposes.
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样本熵用于林德利分布和功率比较的拟合检验
摘要本文研究了Lindley模型的拟合优度检验统计量的构建。提出的测试统计量是基于样本熵的。得到了不同样本量下的试验性质及其临界点。然后使用蒙特卡罗模拟,在各种替代方案和不同的样本量下进行经验功率比较研究。与基于edf的测试统计数据相比,新的测试在功率方面表现出良好的性能。下面是对结果的讨论,其中为不同类别的替代方案选择了最佳测试。最后,为了说明问题,分析了一个真实的数据集。
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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