方差不等的单向方差分析。
One-way analysis of variance with unequal variances.
作者信息
Rice W R, Gaines S D
机构信息
Department of Biology, University of New Mexico, Albuquerque 87131.
出版信息
Proc Natl Acad Sci U S A. 1989 Nov;86(21):8183-4. doi: 10.1073/pnas.86.21.8183.
We have designed a statistical test that eliminates the assumption of equal group variances from one-way analysis of variance. This test is preferable to the standard technique of trial-and-error transformation and can be shown to be an extension of the Behrens-Fisher T test to the case of three or more means. We suggest that this procedure be used in most applications where the one-way analysis of variance has traditionally been applied to biological data.
我们设计了一种统计检验方法，该方法摒弃了单因素方差分析中各组方差相等的假设。此检验方法优于反复试验变换的标准技术，并且可以证明它是贝伦斯 - 费希尔T检验在三个或更多均值情况下的扩展。我们建议，在大多数传统上已将单因素方差分析应用于生物学数据的应用中使用此程序。
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