regression, and more. This repository contains R projects focused on statistical analysis, using techniques like EDA, Hypothesis Testing, ANOVA, Normalization, and Linear Regression. Each project ...

Cerebellar patients exhibit various motor impairments, but the sequence of primary and compensatory processes leading to these deficits remains unclear. To investigate this, we reversibly blocked ...

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and continuous data seeming almost opposed at first glance. That said, ...

Applied probability, estimation, sampling, hypothesis testing, linear regression, analysis of variance, categorical data analysis, and nonparametric statistics are among the topics included.

It supports the development of high level applications for spatial analysis, such as detection of spatial clusters, hot-spots, and outliers construction of graphs from spatial data spatial regression ...

Linear regression residues were evaluated by normality parameters (Ryan and Joiner test), homoscedasticity (Brown and Forsythe ... thus allowing the use of hypothesis tests that follow this type of ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random neighborhoods ...

What is regression testing?Regression testing verifies that code changes haven't broken existing functionality. When you're ...