The code build a correlation like heat but using chi-square test for catagorical variables. Python and R have built in libraries for producing heatmap for correlation test but there is no such library ...

An efficient algorithm for important class association rule mining using genetic network programming (GNP) is proposed. GNP is one of the evolutionary optimization techniques, which uses directed ...

The chi-squared test, often written as χ2 test, is a statistical hypothesis test used in the analysis of categorical variables to determine whether observed data are different from expectations. In ...

We present a novel test statistic for the neutrosophic chi-square -test for consistency, which accounts for the uncertainties inherent in the data. To evaluate the performance of the proposed test, we ...

Spread the loveIntroduction The Chi-Square test is an important statistical method for determining the relationship between two categorical variables. It is particularly useful in hypothesis testing ...

A chi-square (χ2) statistic is a test that is used to measure how expectations compare to actual observed data or model results.

Gain the ability to do predictive analysis and determine the relationship between historical data with this guide to using R for SEO.