In this demonstration, we make a time series analysis based on a temperature data set.
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Updated
Jan 7, 2022 - Jupyter Notebook
In this demonstration, we make a time series analysis based on a temperature data set.
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
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.
This repository contains different statistical methods for Hypothesis testing.
Statistical Multivariate Regression Analysis to determine the effects of mortality, economic and social factors on life expectancy.
A project based on FIFA players dataset from www.kaggale.com
Testing the power of normality tests for data simulation
Medal Projection - Automation for Normality Testing (Shapiro-Wilk) on World Athletics
I practiced hypothesis testing with Python.
💊 AB Testing Between Versions
Testing the power of normality tests for a mixture of two normal distributions and the power of Wilcoxon test for a mixture of two Poisson distributions
Research on the reasons for GDP per Capita growth in China
Parallel evolutionary algorithm that represents images with polygons using edge detection and denoising. Configuration is carried out through normality tests and pairwise comparisons.
A webapplication that provides a way to calculate statistical functions without having to write any code.
Goodness-Of-Fit test for normality based on elimination of parameters
Testing the power of normality tests for data simulation and conducting both ANOVA (one-way and two-way) and MANOVA for my own movie dataset
Code for the paper "Multivariate Normality Test with Copula Entropy"
Applied Computational Statistics Final Project - September 16, 2021
Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.
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