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) ...
Formulas closely related to $$u(t) = \lbrack n \log (1 + t^2/n)\rbrack^{\frac{1}{2}}\\ w(\chi^2) = \lbrack\chi^2 - n - n \log (\chi^2/n)\rbrack^{\frac{1}{2}}$$ are ...
Wald's method constructs test statistics having chi-squared limiting distributions from estimators having nonsingular multivariate normal limiting distributions, using the inverse of the covariance ...
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