non-parametric-statistics
There are 0 repository under non-parametric-statistics topic.
- ggstatsplot
IndrajeetPatil / ggstatsplot
Enhancing {ggplot2} plots with statistical analysis 📊📣
Language:R 2141 - Language:Julia 24
Marco-Congedo / PermutationTests.jl
Univariate and multiple comparisons statistical hypothesis testing by data permutation
Language:Julia 8nt-williams / simul
:package: Simultaneous Confidence Bands Based on the Efficient Influence Function and Multiplier Bootstrap :books: :crystal_ball: :satellite:
Language:R 5Mamba413 / Nonparametric-Statistical-Inference-via-Metric-Distribution-Function-in-Metric-Spaces
Reproducible materials for Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces (JASA, 2023+)
Language:R 3- Language:Jupyter Notebook 3
sghosh89 / BIVAN
This repo is for copula based analysis on bivariate as well as multivariate data sets in ecology and related fields. For details and citation we refer to this publication: Ghosh et al., Advances in Ecological Research, vol 62,pp 409, 2020
Language:R 2songlab-cal / flinty
A Simple and Flexible Test of Sample Exchangeability with Applications to Statistical Genomics
Language:Python 2tnathu-ai / Hypothesis-Testing-Crosfit-Case-Study
Hypothesis Testing CrossFit Game 2015
Language:Jupyter Notebook 2AbrahamHussein / STAT-523
Developed a function in R to compute the Cramér–von Mises test statistic(s) in R as no packages were readily available.
Language:R 1aldoMsc / Data-Analysis-Non-Parametric-Testing-
This is a Data Science project to analyse correlation between health conditions. This project aim is to don't use any build-in libraries and complete the analysis with raw coding
Language:Python 1andreehrlich / individualized-treatment-survival
MSc Thesis: Non-Parametric Estimation of Optimal Individualized Treatment Rules for Survival Data
Language:Jupyter Notebook 1eyabesbes / Statistique-Non-parametrique
Non-parametric estimation of density using kernels and histograms with Python and R.
Language:Jupyter Notebook 1JamesHotniel78 / Median-Test-in-R-Software
Median Test in R Software
kapshaul / CT-medical-imaging
The Expectation Maximization (EM) algorithm is used to reduce Poisson noise in CT images. The repository provides derivations and evaluations with the Cramer-Rao Lower Bound (CRLB).
Language:MATLAB 1MalekYaich / Density-estimation-
This project offers an R code implementation for estimating the density function using the kernel method. It explores different values of the parameters h and n to perform these estimations.
Language:HTML 1rmehta1987 / CoZINB
Correlated Zero Inflated Negative Binomial Process
Language:Python 1SK-SCMLab / Non-Parametric-Testing-for-Manufacturing-operations-in-Excel
This repository contains case studies from real-world manufacturing environments, demonstrating how non-parametric tests can be carried out in manufacturing operations using Microsoft Excel.
vidisha999 / AB-Testing-Udacity-Project
This project is about A/B testing experiment conducted by Udacity, an e-learning platform, with the goal of reducing the number of users who leave the course at the end of the free-trial period.
Language:Jupyter Notebook 1Arekflo2002 / Non_Parametric_Statistics
Final project for non-parametric methods in statistics. I worked in Jupyter Notebook and extracted solutions to HTML. I mainly tested power of the selected tests(chi square, kolmogorov,etc.) depending on different variables(like deegres of freedom of the distribution or number of observations).
Language:HTML 0bibymaths / Clinical-Trials-Stats-R
R scripts for statistical analysis of clinical trials, focusing on non-parametric methods, permutation tests, and visualization. Includes Wilcoxon-Mann-Whitney tests, Kruskal-Wallis tests, and rank-based effect estimation to analyze treatment outcomes
Language:R 0dorisyan1122 / Non-Paramatric-Testing
Program Evaluation with Non-Parametric Statistics and Hypothesis Testing
Language:HTML 0ebjaime / European-Green-Deal-Analysis
An analysis of the European Renewable Transition.
Language:R 0EdaYaren / NonParametric
Parametrik olmayan istatistiksel yöntemler dersinin ödevi
Language:Jupyter Notebook 0Goodfeelings / spring-2024-comp-intensive-stats-projects-02
Computer Intensive Stats - Project 02
Language:Jupyter Notebook 0hinc-b / UniProject_NonParametricModel
Project scope: Prediction if the bank's client will or will not leave the bank.
Language:R 0- 0
JohnnySolo / Data-Analysis-Project---Spotify-Hit-Songs
That's my 1st year project in the course "Introduction to Statistics"
0kasia-kobalczyk / mystatlearn
Accessible implementation of statistical learning algorithms, non-parametric and high-dimensional methods.
Language:Jupyter Notebook 0Marklong7 / FeatureAlignment
This is an R package for feature alignment issues in vertical federated learning
Language:R 0- Language:Python 0
sebasr0 / Estadistica-No-Parametrica-Regresion-Tests-EstadOrdenados
Análisis del Taller de Estadística No Paramétrica. Incluye modelos robustos y no paramétricos, estimación con KDE, pruebas estadísticas (Mann-Whitney U), y detección de outliers. Comparación de regresión RLM, RANSAC, y Kernel. Código para análisis, visualizaciones y resultados. - Modelos robustos y no paramétricos - KDE y análisis de distribución
Language:Jupyter Notebook 0Agencycreative / number-statistics-jupyter-notebook
📊 Explore numeric statistics with this Jupyter Notebook app, easily analyzing lists of numbers for insights and visualization.
Language:Jupyter NotebookBioDataAnalysisLab / Hands-on-Biostatistics-Workshop-2021
Materials of the Hands-on Biostatistics 2021 workshop
kamrul69 / Non-parametric-statistics-tests-Beginner-to-Advanced
1. 1-sample sign test 2. 1-sample Wilcoxon test. 3. Wilcoxon test for paired data. 4. Mann-Whitney test. 5. Mood's median test. 6. Kruskal Wallis test. 7. Friedman test.
Mugambi645 / hypothesis-testing-soccer
Hypothesis Testing with Men's and Women's Soccer Matches
Language:Jupyter Notebook
