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

The chi-square test is a statistical hypothesis test that is used to compare observed and expected counts in a contingency table. Its uses include: tests for independence, tests for homogeneity, and ...

Results from the theory of linear models establish a particular idempotency condition as being necessary and sufficient for a quadratic form in a nonsingular normal vector to follow a chi-square ...

A random Rayleigh vector is a vector of norms of random Gaussian vectors, and a Chi-square vector is the vector of squares of these norms. Excepting special cases, neither the Rayleigh nor Chi-square ...