kolmogorov-smirnov-tests
There are 0 repository under kolmogorov-smirnov-tests topic.
PacktWorkshops / The-Data-Analysis-Workshop
A New Interactive Approach to Learning Data Analysis
Language:Jupyter Notebook 6328101991SUNNY / Statistics_study
about statistical techniques for Data Science
Language:Jupyter Notebook 5o-laurent / multivariate-ks-test
Python implementation of an extension of the Kolmogorov-Smirnov test for multivariate samples
Language:Python 5salidotir / Classification-using-KMeans-and-SimpleMKL
Very large scale classification based on K-Means clustering & Multi-Kernel SVM(SimpleMKL), Soft Computing article, June 2019, https://dl.acm.org/doi/abs/10.1007/s00500-018-3041-0
Language:Jupyter Notebook 2dajoh16 / RandomGeneratorTest
Testing a self implemented LCG vs. C# standard through the Kolmogorow Smirnow test & and a Runs Test
Language:C# 1amatov / ClusterTrackTubuline
drug-repurposingsingle-cell-analysistubulin-inhibitorsblob-detectionscale-space-filteringvon-hippel-lindau-diseasekidney-cancerretinal-pigment-epitheliumhungarian-algorithmtemplate-matchingintensity-histogram-thresholdingdifference-of-gaussiansbootstrapping-statisticskolmogorov-smirnov-testspermutation-testhistone-deacetylase-inhibitor-trichostatin-anocodazolepaclitaxelcytoplasmic-linker-protein-170glycogen-synthase-kinase-3-betaLanguage:C++ 0IA3005 / jmva_paper_code
Code for fitting EEG data with Wishart and t-Wishart distributions
Language:Python 0johnbrendanowens / Chi-Square-Tests-Confidence-Intervals-Kolmogorov-Smirnov-Tests-and-Shapiro-Wilk-Normality-Tests
This is a homework I did in the Spring 2017. It involves conducting Chi Square Tests, Confidence Intervals, Kolmogorov-Smirnov Tests, and Shapiro-Wilk Normality Tests. It has problem numbers that are associated to problems in "Using R: Introductory Statistics".
Language:R 0mikesha2 / kolmogorov_smirnov_torch
A simple, vectorized implementation of the two-sample Kolmogorov-Smirnov test in PyTorch.
Language:Python 0Samuel85 / peacock2_matlab
Matlab implementation of the improved Peacock algorithm by Yuanhui Xiao.
Language:MATLAB 0- Language:R
Lefteris-Souflas / Hypothesis-Tests-and-Pairwise-Associations-Project
The salary dataset contains info on 474 Midwestern bank employees. Tasks include understanding the dataset's structure, summarizing numerical variables, testing hypotheses on salary equality, gender-based differences, age group analysis, and proportion comparison.
Language:R
