THE CHI-SQUARE TEST OF GOODNESS OF FIT FOR A BIVARIATE NORMAL DISTRIBUTION.
NAVAL WEAPONS LAB DAHLGREN VA
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A brief summary of the bivariate normal distribution is given estimating the five parameters, determining the two regression lines, transforming the original random variables to achieve independence, testing the null hypothesis that the correlation coefficient is zero, and describing the contour ellipses. The Pearson Chi-Square Goodness of Fit Criterion is described for testing the null hypothesis that the parent population of a random sample of paired random variables is bivariate normal. Author
- Statistics and Probability