Implementations of methods for online (sequential) multiple hypothesis testing.
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Updated
Oct 8, 2024 - Python
Implementations of methods for online (sequential) multiple hypothesis testing.
Adjust supplied p-values for multiple comparisons via a specified method.
Multiple hypothesis testing in Python
📊 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."
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.
Generalized TOPSIS using similarity and Bonferroni mean
[DONE] To compare responses related to sleep/feelings between the Jang Bogo station and the King Sejong station
Social studies lab dedicated to preferences between NA and EU in board games
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
Generic enrichment analysis
Adjust p-values for multiple comparisons
Multiple Hypotheses Testing for Discrete Data
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…
Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups
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