Publication | Closed Access
Coping with variance heterogeneity
15
Citations
17
References
1990
Year
Random Critical FunctionTrue Significance LevelEconomic AnalysisTrue LevelBiostatisticsStatistical InferenceManaging VariabilityVariance HeterogeneityData HeterogeneityStatistics
An approximate solution to the problem of testing equality of means of normal populations, when the variances may differ, is developed. The proposed solution utilizes the F-test with a random critical function. A series expansion based on results of Gideon and Gurland (1976) yields the true level of significance of the test. For a small number of populations in the test the technique is viable, but for a larger number a simulation study is made to compare the behavior of this test with that of some other well-known tests. The proposed test appears to provide better control of the true significance level, especially for small sample sizes. Futhermore, since it utilizes the ordinary F-statistic, it is simpler and more easily computed than some others.
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