kolmogorov-smirnov
There are 0 repository under kolmogorov-smirnov topic.
- Language:Jupyter Notebook 332
- data-science-toolkit
pmaji / data-science-toolkit
Collection of stats, modeling, and data science tools in Python and R.
Language:HTML 210 erdogant / benfordslaw
benfordslaw is about the frequency distribution of leading digits.
Language:Python 40Tirgit / missCompare
missCompare R package - intuitive missing data imputation framework
Language:R 39ZJUFanLab / CCL-cGPS
A clinical genomics-guided prioritizing strategy enables accurately selecting proper cancer cell lines for biomedical research
Language:R 9- COVID-Genome-Computational-Analysis
0xpranjal / COVID-Genome-Computational-Analysis
Computational predictions of protein attributes associated with COVID-19 using Data Science techniques
Language:Jupyter Notebook 7 o-laurent / multivariate-ks-test
Python implementation of an extension of the Kolmogorov-Smirnov test for multivariate samples
Language:Python 5RogersNtr / Handling-concept-drift
Code for testing Concept drift techniques on a real word dataset on a hexapod robot
Language:Python 5mtalebizadeh / apexsensun
APEXSENSUN is a package in R for performing uncertainty and sensitivity analysis for the APEX model.
Language:R 3drewli815 / Power-Outages
An analysis and classification model on Power Outages.
Language:Jupyter Notebook 2- Language:Jupyter Notebook 2
aidevnn / DiscreteProbaStats
Samples generations using discrete probability and Kolmogorov-Sirmnov test
Language:C# 1al6133 / Random_Number_Generators
Implementing Unif(0,1) Pseudo Random Generators & performing Statistical Tests on them
Language:Python 1eyobghiday / machine-learning
Machine Learning basics codes I wrote in 2020
Language:Python 1JulianoGaspar / testesEstatisticos
Como descrever meus dados? Quais testes estatísticos devo usar? Síntese dos testes estatísticos (introdutórios) que podem ser usados em uma análise de dados em saúde.
Makar-Data / China_suicide_analysis-EN
Shandong suicide dataset analysis
Language:Python 1Анализ датасета по суицидам в Шаньдуне.
Language:Python 1Akashash01 / Logistic-regresion
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
0- ROCKS.jl
DaymondLing / ROCKS.jl
Produce ROC, Concordance, KS, Calibration, Lift curve, Lift table for a binary classifier
Language:Julia 0 drawning0510 / R-Fraudulent_Click_Traffic_Detection
Built LDA and QDA models on variables obtained from Principal Component Analysis (PCA) and Kolmogorov-Smirnov (KS) and tuned by leave-one-out cross-validation (LOOCV) to predict fraudulent online advertising click traffic
Language:R 0huelemeier / report-normality-tests
Report findings from normality tests such as shapiro.test, ad.test, ols_normality_test.
Language:R 0lolloloschi97 / Data-Drift
Data Drift Analysis and Anomaly detection tools
Language:Jupyter Notebook 0LostInDarkMath / Hypothesentests
Enthält statistische Tests auf Gleichverteilung und Monte-Carlo-Simulationen um diese zu vergleichen.
Language:Python 0lucashomuniz / Project-3
Enhancing Statistical Tests: Integrating Automation and Visualization for Optimal Data Analytics
Language:R 0mikesha2 / kolmogorov_smirnov_torch
A simple, vectorized implementation of the two-sample Kolmogorov-Smirnov test in PyTorch.
Language:Python 0proteomicsyates / pctsea-parent
PCTSEA (Proteomics Cell Type Enrichment Analysis) is a tool designed to statistically determine which cell types are significatively enriched in an input set of proteins with certain relative expression values. This process is done by using a database of datasets of RNASeq expression values from single cells from which the cell type is known (or predicted).
Language:Java 0Samuel85 / peacock2_matlab
Matlab implementation of the improved Peacock algorithm by Yuanhui Xiao.
Language:MATLAB 0sdeepak09 / MTH_516_Non_parametric_Inference_IITK
This repository contains Materials for Non-Parametric Inference
non-parametric-inferencenadaraya-watsonnw-regressionlocally-linear-nadaraya-watsonkernel-density-estimationkdemultivariate-kdeuniform-kernelmultivariate-uniform-kernelgaussian-kernelmultivariate-gaussian-kernelhodge-lehman-estimatorefficiencyexact-run-testrandtestskolmogorov-smirnovcramer-von-misesempirical-processchi-square-testmth-516Language:R 0ShrayanRoy / Brief-Study-of-Kolmogorov-Smirnov-Test
Project of a coursework - Nonparametric Inference (M.Stat Semester 2) under the supervision of Prof. Isha Dewan. (Project Group : Uttaran Chatterjee, Adrija Saha, Shrayan Roy)
Language:HTML 0ToshihiroIguchi / atv
Analysis of two variables by nonparametric method
Language:R 0Dr-MunirShah / datascience
This repository contains data science tools and methods, and my take and notes on some of them
Gisich525 / monte-carlo-test
The Monte Carlo method and the Kolmogorov-Smirnov correspondence criterion for a generation task
Language:Pythonkevin-titi / Wharton_People_Analytics_Case_Competition_2023
Our team analyzed real data to help TFA optimize its corps matching process for placement acceptance and successful corps experiences. Finalists were selected in a multi-round process based on the degree to which they demonstrated.
Language:Jupyter Notebookkmyafi / Nonparametric-Statistics-R
R codes for Nonparametric Statistics
Language:R- globITFPhysGENIE
sandyherho / globITFPhysGENIE
This repository contains baseconfigs & userconfigs, cGENIE outputs, Python scripts for data analysis, and figures associated with the Herho et al. (2024) manuscript.
Language:Python
