Multiple hypothesis testing in Python

Adjust p-values for multiple comparisons

A Bonferroni Mean Based Fuzzy K-Nearest Centroid Neighbor (BM-FKNCN), BM-FKNN, FKNCN, FKNN, KNN Classifier

Scripts to perform pairwise t-test on TREC run files

📊 Statistical analyzers to provide more robust comparisons between Machine Learning techniques.

This R code implements the Bonferroni Q test from Yogo and Campbell's (2006) paper "Efficient Tests of Stock Return Predictability."

Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups

Generic enrichment analysis

Conduct a 5-way AB Test on Montana State University Library's website, comparing the original "Interact" button with new versions ("Learn," "Help," "Connect," "Services") to boost user engagement.

It is a method that allows analyzing the differences among group means in a given sample. ANOVA is a collection of statistical models and their associated estimation procedures like variation within and between groups. It is used to study the modification of mþ as the average of the studied phenomenon Y (quantitative/continuous/dependent variabl…

Adjust supplied p-values for multiple comparisons via a specified method.

Implementations of methods for online (sequential) multiple hypothesis testing.

Multiple Hypotheses Testing for Discrete Data

Generalized TOPSIS using similarity and Bonferroni mean

Social studies lab dedicated to preferences between NA and EU in board games

[DONE] To compare responses related to sleep/feelings between the Jang Bogo station and the King Sejong station