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GitHub topics: kolmogorov-smirnov-tests

amatov/ClusterTrackTubuline

ClusterTrack software allowed for the first time comprehensive measurements of microtubule behavior, including during stages of depolymerization, for which there is no known molecular marker

Language: MATLAB - Size: 2.77 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

PacktWorkshops/The-Data-Analysis-Workshop

A New Interactive Approach to Learning Data Analysis

Language: Jupyter Notebook - Size: 63.3 MB - Last synced at: 10 days ago - Pushed at: almost 2 years ago - Stars: 70 - Forks: 56

o-laurent/multivariate-ks-test

Python implementation of an extension of the Kolmogorov-Smirnov test for multivariate samples

Language: Python - Size: 8.79 KB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 0

kazilab/XeroGraph

XeroGraph is a Python package developed for researchers and data scientists to analyze, visualize and impute missing data in datasets.

Language: Python - Size: 1.99 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

IA3005/jmva_paper_code

Code for fitting EEG data with Wishart and t-Wishart distributions

Language: Python - Size: 54.9 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

NermeenKamal/Random-Numbers-Generators-And-Testing

ICG (Inversive Congruential Generator), MSM (Middle Square Method), LFG (Lagged Fibonacci Generator), MRG (Multiple Recursive Generators), KS Test (Kolmogorov-Smirnov Test)

Language: C++ - Size: 7.81 KB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

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 - Size: 486 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

johnbrendanowens/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 - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

28101991SUNNY/Statistics_study

about statistical techniques for Data Science

Language: Jupyter Notebook - Size: 82.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

salidotir/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 - Size: 15.9 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

dajoh16/RandomGeneratorTest

Testing a self implemented LCG vs. C# standard through the Kolmogorow Smirnow test & and a Runs Test

Language: C# - Size: 9.77 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

GeoBosh/psistat

R functions mainly for computations related to Kolmogorov-Smirnov tests

Language: R - Size: 3.01 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Related Keywords
kolmogorov-smirnov-tests 12 hypothesis-testing 3 bootstrapping-statistics 2 chi-square-test 2 python 2 confidence-intervals 1 wilcoxon-test 1 visualization 1 summary-statistics 1 shapiro-wilk 1 r 1 pearson-chi-test 1 pairwise-comparison 1 levene 1 kruskal-wallis 1 fligner 1 fisher-test 1 anova 1 random-generators 1 modeling 1 cpp 1 wishart-distributions 1 ssvep 1 fitting-distribution 1 eeg 1 xputer 1 simulation-course 1 sdu 1 runs-test 1 random-number-generators 1 pseudo-random-generator 1 outlier-detection 1 multi-kernel-svm 1 multi-kernel-learning 1 kmeans-clustering 1 t-test 1 qqplots 1 proportion-test 1 probability 1 post-hoc-analysis 1 parametric 1 nonparametric-statistics 1 mathematics 1 inferencial-statistics 1 gaussian-distribution 1 confidence-interval 1 central-limit-theorem 1 bayes-theorem 1 anova-analysis 1 normality 1 exploratory-data-analysis 1 data-analysis 1 data 1 clustering 1 bivariate-analysis 1 von-hippel-lindau-disease 1 tubulin-inhibitors 1 template-matching 1 single-cell-analysis 1 scale-space-filtering 1 retinal-pigment-epithelium 1 permutation-test 1 paclitaxel 1 nocodazole 1 kidney-cancer 1 intensity-histogram-thresholding 1 hungarian-algorithm 1 histone-deacetylase-inhibitor-trichostatin-a 1 glycogen-synthase-kinase-3-beta 1 drug-repurposing 1 difference-of-gaussians 1 cytoplasmic-linker-protein-170 1 blob-detection 1 xgboost-imputation 1 randomforest-imputation 1 q-q-plot 1 normality-test 1 multiple-imputation 1 missing-values 1 mice 1 little-s-mcar 1 lasso-cv-imputation 1 iterativeimputation 1 histogram 1 density-plot 1 compare-imputation 1 statistical-tests 1 multivariate 1 kolmogorov-smirnov 1 visualizations 1 visual-analysis 1 univariate-analysis 1 pandas-profiling 1 logistic-regression 1 linear-regression 1 feature-engineering 1