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In statistics, the Bonferroni correction is a method to counteract the multiple comparisons problem. Contents. 1 Background; 2 Definition; 3 Extensions.

Multiple comparisons problem-Boole's inequality-Šidák correction

The Bonferroni test is a type of multiple comparison test used in statistical analysis. When performing a hypothesis test with multiple comparisons, ...

Purpose: The Bonferroni correction adjusts probability (p) values because of the increased risk of a type I error when making multiple statistical tests.

A Bonferroni adjustment is simple, divide the original alpha (0.05) by the number of comparisons you're running.

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The Bonferroni correction adjusts for this by dividing the significance level by the number of tests. In this case, the significance level for a given ...

The Bonferroni correction adjusts your significance level to control the overall probability of a Type I error for multiple hypothesis tests.

In statistics, the Holm–Bonferroni method, also called the Holm method or Bonferroni–Holm method, is used to counteract the problem of multiple comparisons.

Bonferroni Correction is a conservative test that protects from Type 1 Error. Our dissertation experts possess the knowledge needed to assist.

The Bonferroni method is a rather conservative method for handling the estimation of the chance of error in multiple testing. This method essentially provides a ...

The Bonferroni correction is a multiple-comparison correction used when several dependent or independent statistical tests are being performed ...

ボンフェローニ補正

統計学において、ボンフェローニ補正(ボンフェローニほせい、Bonferroni correction)は、多重比較問題に対抗するために使われるいくつかの手法のうちの1つである。-Wikipedia