This project demonstrates bivariate normal distribution analysis including scatter plots, confidence ellipses, histograms, contour plots, normality tests, and Pearson correlation confidence intervals.

We start with analyzing stochastic dependence in a classic bivariate normal density framework. We focus on the way the conditional density of one of the random variables depends on realizations of the ...

Abstract: We propose a new bivariate distribution with five shape parameters and two scale parameters. It allows great flexibility for the bivariate situation and successfully replaces the assumption ...