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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.

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 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.

Specifically, the Bonferroni correction controls the per-family error rate (PFER), which is the mean number of false-positive rejections divided by the number ...

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.

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 ...

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

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