A chi-square (also called chi-squared) test is a classical statistics technique that can be used to determine if observed-count data matches expected-count data. A chi-square (also called chi-squared) ...

R is the perfect language for creating a variety of chi-square tests, which are used to perform statistical analyses of counts of data. Here's how, with some sample code. A chi-square test (also ...

We consider a recurrent event wherein the inter-event times are independent and identically distributed with a common absolutely continuous distribution function F. In this article, interest is in the ...

A statistical test that allows one to determine whether observed quantities of a specific characteristic differed from the expected value purely by chance.

The minimum chi-square statistics to test for homogeneity in r X c contingency tables and for symmetry in r X r tables are presented. Journal Information Biometrics is a scientific journal emphasizing ...