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随机序关系的似然比检验AI 解读

This article presents a method of extending the likelihood ratio principle to a nonparametric setting. The problem dealt with is a test for stochastic ordering. The resulting test is shown, via simulation, to have good power. It is shown to be consistent and unbiased.

正态对柯西的最强不变检验及其对稳定分布备择的应用AI 解读

This paper gives a derivation of the most powerful scale and location invariant test of normal versus Cauchy. A simulation study of this test shows that in testing normality versus symmetric stable alternatives it comes closer to being uniformly more powerful than any of five tests previously studied.