This repository contains Materials for Non-Parametric Inference

Package provides python implementation of statistical inference engine

Spark statistical inference framework for performing column pair-wise data analytics for large data table

This is a homework I did in the Spring 2017. It involves conducting Chi Square Tests, Confidence Intervals, Kolmogorov-Smirnov Tests, and Shapiro-Wilk Normality Tests. It has problem numbers that are associated to problems in "Using R: Introductory Statistics".

This a project I did in the Spring of 2017 for the graduate course of Statistical Computing. This project includes T-Tests, Non-parametric Tests, Linear Regressions, Correlation Tests, Chi Square Tests, and tests for normality. This project also includes some basic graphing.

Statistical tests for use with the Extended Kalman Filter

A friendly, automated chi-square test function which takes care of post-hoc tests and multiple comparisons.

Companies face the problem that their human resources on whom the company have invested time and money to train them, leave the company voluntarily. It is important for the management to know the variables responsible for employees quitting jobs and also have a prediction that which employees will be quitting their jobs in future. The goal of th…

Laboratory works on Elements of Mathematical Statistics course

a simple shiny app that perform statistical tests such as normal test, t-test, and chi-square test

Wesleyan University

Various projects directly incorporating statistical concepts to generate insights critical to Data Analysis

Analysis of hate crimes in Spain between 2014 and 2017 using official data

Final project progress will be posted here.