@booklet {weiss-slfmt1996,
	title = {Significance Levels for Multiple Tests},
	howpublished = {Discussion Papers},
	year = {1996},
	month = {3},
	publisher = {Statistics and Probability Letters 35 (1997), 43-48},
	abstract = {Let X1, ... , Xn be n random variables, with cumulative distribution functions F1, ... , Fn. define \%i := fi(XI) for all i, and let \%(1) \% ... \% \%(n) be the order statistics of the (\%i)i. Let \%1 \% ... \% \%n be n numbers in the interval [0,1]. We show that the probability of the event R := \%\%(i) \% \%i for all 1 \% i \% n \%) is at most mini \%n\%i/i\%. Moreover, this bound is exact: for any given n marginal distributions (Fi)i, there exists a joint distribution with these marginals such that the probability of R is exactly mini \%n\%i/i\%. This result is used in analyzing the significance level of multiple hypotheses testing. In particular, it implies that the R?ger tests dominate all tests with rejection regions of type R as above.},
	url = {/files/ probs.html},
	author = {Weiss, Sergiu Hart and Benjamin, Nathans,}
}
