Program Evaluation with Non-Parametric Statistics and Hypothesis Testing
-
Updated
Jan 16, 2024 - HTML
Program Evaluation with Non-Parametric Statistics and Hypothesis Testing
Hypothesis Testing CrossFit Game 2015
This is an R package for feature alignment issues in vertical federated learning
Computer Intensive Stats - Project 02
📦 Simultaneous Confidence Bands Based on the Efficient Influence Function and Multiplier Bootstrap 📚 🔮 📡
Correlated Zero Inflated Negative Binomial Process
Reproducible materials for Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces (JASA, 2023+)
All my R code used for statistical analyses - Hypothesis Testing, t-tests, etc.
Accessible implementation of statistical learning algorithms, non-parametric and high-dimensional methods.
Median Test in R Software
The shared area under probability distribution curves test is a non-parametric alternative to the analysis of variance. It makes no assumptions about the data and it is not based on ranks, so information about absolute distances between data points is not lost.
Hands-on Instructions on Different courses
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.
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.
Project scope: Prediction if the bank's client will or will not leave the bank.
Materials of the Hands-on Biostatistics 2021 workshop
Developed a function in R to compute the Cramér–von Mises test statistic(s) in R as no packages were readily available.
An analysis of the European Renewable Transition.
So this is my final project for non-parametric methods in statistics. I work in Jupyter Notebook and extract solutions to HTML. I mainly test power of the selected tests(chi square, kolmogorov,etc.) depending on different variables(like deegres of freedom of the distribution or number of observations).
Add a description, image, and links to the non-parametric-statistics topic page so that developers can more easily learn about it.
To associate your repository with the non-parametric-statistics topic, visit your repo's landing page and select "manage topics."