Then, conditionally on the generated genotype, g k (k=0, 1, 2), we jointly drew the values of Y 1 and Y 2 via a bivariate normal distribution with mean (m 1k, m 2k) t and variance matrix Ω, given ...

A neural network is used to approximate the empirical cumulative distribution function. The corresponding probability density is then obtained by determining the ... bivariate normal distribution and ...

The bivariate normal distribution. Analysis of variance for one-and two-way designs. F tests. Nonparametric methods. Chi-squared tests for contingency tables. Generalized likelihood ratio. C.R. bound.