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2012 Sep 13
0
problematic p values for Dixon Q test
I am using R dixon.test in order to perform Q test for detection of outliers.
The p-values for high Q values are consistent with the table in Rorabacher,
D.B. (1991) http://www.flworkshop.com/sscs/dixon_test.pdf, but it seems that
small Q-values get problematic p-values. For example:
dixon.test(c(0.324,0.5,1,1.324),two.sided=T)
Q = 0.324, p-value = 1
dixon.test(c(0.324,0.5,1,1.324),two.sided=F)
Q = 0.324, p-value = 0.5
The p value I expect by simulation is ~0.83:
norm=matrix(...