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On the T-test
Statistics & Probability Letters ( IF 0.9 ) Pub Date : 2022-06-11 , DOI: 10.1016/j.spl.2022.109562 S.Y. Novak
中文翻译:
在 T 检验上
更新日期:2022-06-11
Statistics & Probability Letters ( IF 0.9 ) Pub Date : 2022-06-11 , DOI: 10.1016/j.spl.2022.109562 S.Y. Novak
The aim of this article is to show that the -test can be misleading. We argue that normal or Student’s approximation to the distribution of Student’s statistic does not hold uniformly over the class of samples from zero-mean unit-variance bounded distributions. We present lower bounds to the corresponding error.
We suggest a generalisation of the -test that allows for variability of possible approximating distributions to .
中文翻译:
在 T 检验上
本文的目的是表明-test 可能会产生误导。我们认为正态或学生对分布的近似学生统计不统一地控制班级样品数从零均值单位方差有界分布。我们给出了相应误差的下限。
我们建议对-测试允许可能的近似分布的可变性.