© 1982 by Biometrika Trust
An improved Bonferroni inequality and applications
Department of Mathematics, McGill University Montreal, Quebec, Canada
We present an improved Bonferroni inequality which gives an upper bound for the probability of the union of an arbitrary sequence of events. The bound is constructed in terms of the joint probability of pairs of events, which are represented by edges on a graph. Examples of applications to periodicity, location shift detection, Kolmogorov-Smirnov tests and outlier detection are given.
Key Words: Bonferroni inequality Periodicity Location shift detection Kolmogorov-Smirnov test Outlier
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