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Bonferroni Inequalities


Let P(E_i) be the probability that E_i is true, and P( union _(i=1)^nE_i) be the probability that at least one of E_1, E_2, ..., E_n is true. Then "the" Bonferroni inequality, also known as Boole's inequality, states that

 P( union _(i=1)^nE_i)<=sum_(i=1)^nP(E_i),

where  union denotes the union. If E_i and E_j are disjoint sets for all i and j, then the inequality becomes an equality. A beautiful theorem that expresses the exact relationship between the probability of unions and probabilities of individual events is known as the inclusion-exclusion principle.

A slightly wider class of inequalities are also known as "Bonferroni inequalities."


See also

Disjoint Sets, Inclusion-Exclusion Principle, Union

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References

Comtet, L. "Bonferroni Inequalities." §4.7 in Advanced Combinatorics: The Art of Finite and Infinite Expansions, rev. enl. ed. Dordrecht, Netherlands: Reidel, pp. 193-194, 1974.Dohmen, K. Improved Bonferroni Inequalities with Applications: Inequalities and Identities of Inclusion-Exclusion Type. Berlin: Springer-Verlag, 2003.Galambos, J. and Simonelli, I. Bonferroni-Type Inequalities with Applications. New York: Springer-Verlag, 1996.

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Bonferroni Inequalities

Cite this as:

Weisstein, Eric W. "Bonferroni Inequalities." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/BonferroniInequalities.html

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