The Bonferroni inequalities are not necessarily rightly named after Carlo Emilio Bonferroni .
Bonferroni was probably not the originator of these inequalities, but used them to define a statistical estimator ( Bonferroni method ). Naming it after him is therefore particularly popular in statistical circles. Because of their simplicity, the inequalities were most likely known before him.
The first of the following inequalities is more commonly referred to as the Boolean inequality after George Boole ; however, the inequalities are often mentioned without reference to a name.
These inequalities are also called Boolean inequalities.
proof
If you set
then the pairs are disjoint and it applies
So follows
The second equality applies because of the σ-additivity and the inequality because of the monotony of the probability measure.
Second inequality
In the following, let us again assume any events in a probability space . Also denote the complement of . Then follows:
Third inequality
Closely connected to the two above inequalities is the following, which by some authors as bonferronische inequality ( English Bonferroni's Inequality is called). It states (under the conditions mentioned):
Examples
Let be the set of results of a die roll. Designate the event of rolling an even number and the event of rolling at least a 5. Obviously, and . After the first Bonferroni's inequality applies to the event just a number , or 5 to dice at least one, that is ,
Let the scenario be as in the previous example. After the second Bonferroni inequality applies for the event, just a number and 5 to roll at least one, ie ,
The result does not provide a useful statement, since every probability is greater than or equal to zero anyway.
However, it follows for the event to roll an even number and less than a 5, so ,
literature
János Galambos , Italo Simonelli: Bonferroni type inequalities with applications. Springer, New York a. a. 1996, ISBN 0-387-94776-0 .
Klaus Dohmen : Improved Bonferroni Inequalities via Abstract Tubes. Inequalities and Identities of Inclusion-Exclusion Type. Springer, Berlin a. a. 2003, ISBN 3-540-20025-8 .
↑ Hans-Otto Georgii: Stochastics: Introduction to Probability Theory and Statistics. 4th edition. de Gruyter textbook, Berlin 2009, ISBN 978-3-11-021526-7 . P. 15.