日本語のみで絞り込む

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

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.

YouTube-Design eLearning Tutorials

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 ...

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 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 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