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400: A Method for Combining Non-Independent, One-Sided Tests of Significance
Morton B. Brown
Vol. 31, No. 4 (Dec., 1975), pp. 987-992
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2529826
Page Count: 6
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Littell and Folks [1971, 1973] show that Fisher's method of combining independent tests of significance is asymptotically optimal among essentially all methods of combining independent tests. By assuming a joint multivariate normal density for the variables, we approximate the distribution of Fisher's statistic in order to combine one-sided tests of location when all the variables are not jointly independent. The probability associated with this test is simpler to evaluate than that of the equivalent likelihood ratio test.
Biometrics © 1975 International Biometric Society