数学
精确检验
连续变量
统计
概率分布
概率质量函数
费希尔信息
统计假设检验
应用数学
作者
Paul W. Mielke,Kenneth J. Berry,Janis E. Johnston
标识
DOI:10.2466/pms.100.3.799-805
摘要
Fisher's well-known continuous method for combining independent probability values from continuous distributions is compared with an exact discrete analog of Fisher's continuous method for combining independent probability values from discrete distributions using matched-pairs t-test data. Fisher's continuous method is shown to be inadequate for combining probability values from many discrete distributions, given the continuity assumption when discrete distributions are considered. Although Fisher's continuous method does not detect a well-documented effect among distributions, the exact discrete analog method clearly detects the effect.
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