异方差
统计的
统计
样品(材料)
检验统计量
计量经济学
经验法则
数学
差异(会计)
统计假设检验
独立性(概率论)
算法
化学
会计
色谱法
业务
作者
Noel Cressie,H.J. Whitford
标识
DOI:10.1002/bimj.4710280202
摘要
Abstract This work discusses how two sample t ‐tests behave when applied to data that may violate the classical statistical assumptions of independence, heteroscedasticity and Gaussianity. The usual two sample t ‐statistic based on a pooled variance estimate and the Welch‐Aspin statistic are treated in detail. Practical “rules‐of‐thumb” are given along with their applications to various examples so that readers will easily be able to use such tests on their own data sets.
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