Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test

This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.

Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.

Portfolio of Python, SQL, & Tableau while pursing my masters degree in data analytics

資料科學的日常研究議題

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

A project based on FIFA players dataset from www.kaggale.com

A Rust crate for assessing the normality of a data sample.

Goodness-Of-Fit test for normality based on elimination of parameters

This Project compares the Effective Minimum Wage and Unemployment Rate statistically and Analytically at the start and end of former President Barack Obama's term.

Prediction of Miles per gallon (MPG) Using Cars Dataset

Testing the power of normality tests for data simulation

Code for the paper "Multivariate Normality Test with Copula Entropy"

Statistical Multivariate Regression Analysis to determine the effects of mortality, economic and social factors on life expectancy.

This project analyzes and preprocesses the Online Retail dataset to uncover insights into customer purchasing behaviors, sales trends, and product performance. It includes data cleaning, exploration, and visualization, with the goal of enhancing understanding of online retail dynamics.

A set of statistical methods conducted on a strict set of algorithm's performance readings, utilizing Python

Parallel evolutionary algorithm that represents images with polygons using edge detection and denoising. Configuration is carried out through normality tests and pairwise comparisons.

python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites