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Exact tests via multiple data splitting
Statistics & Probability Letters ( IF 0.9 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.spl.2020.108865 Cyrus J. DiCiccio , Thomas J. DiCiccio , Joseph P. Romano
Statistics & Probability Letters ( IF 0.9 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.spl.2020.108865 Cyrus J. DiCiccio , Thomas J. DiCiccio , Joseph P. Romano
Abstract Methods for the construction of hypothesis tests based on multiple data splitting are presented. The tests combine p -values, and exhibit overall Type 1 error control. But, it is also shown that multiple data splitting may have worse power than single splitting.
中文翻译:
通过多个数据拆分进行精确测试
摘要 提出了构建基于多数据拆分的假设检验的方法。这些测试结合了 p 值,并展示了总体 1 类错误控制。但是,也表明多个数据拆分可能比单个拆分具有更差的功率。
更新日期:2020-11-01
中文翻译:
通过多个数据拆分进行精确测试
摘要 提出了构建基于多数据拆分的假设检验的方法。这些测试结合了 p 值,并展示了总体 1 类错误控制。但是,也表明多个数据拆分可能比单个拆分具有更差的功率。