Topic: bonferroni Goto Github
Some thing interesting about bonferroni
Some thing interesting about bonferroni
bonferroni,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 mรพ as the average of the studied phenomenon Y (quantitative/continuous/dependent variable) according to the influence of one or more (qualitative/discrete/independent variable) factors.
User: alifradi
bonferroni,Multiple Hypotheses Testing for Discrete Data
User: allenzhuaz
bonferroni,A Bonferroni Mean Based Fuzzy K-Nearest Centroid Neighbor (BM-FKNCN), BM-FKNN, FKNCN, FKNN, KNN Classifier
User: baguspurnama98
bonferroni,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.
User: cintia0528
bonferroni,Generic enrichment analysis
User: dvklopfenstein
bonferroni,[DONE] To compare responses related to sleep/feelings between the Jang Bogo station and the King Sejong station
Organization: g-abcwork
bonferroni,๐ Statistical analyzers to provide more robust comparisons between Machine Learning techniques.
User: gugarosa
Home Page: https://statys.readthedocs.io
bonferroni,Scripts to perform pairwise t-test on TREC run files
User: lgrz
bonferroni,Generalized TOPSIS using similarity and Bonferroni mean
User: luukka76
bonferroni,Social studies lab dedicated to preferences between NA and EU in board games
User: makcfd
bonferroni,Adjust p-values for multiple comparisons
User: nunofachada
bonferroni,Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups
User: odeibarredo
bonferroni,Multiple hypothesis testing in Python
User: puolival
bonferroni,Adjust supplied p-values for multiple comparisons via a specified method.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
bonferroni,This R code implements the Bonferroni Q test from Yogo and Campbell's (2006) paper "Efficient Tests of Stock Return Predictability."
User: yannickkae
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