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What is Covariance and Independence Explained about?

This document discusses independent random variables. It defines independence for random variables X and Y as their joint probability density function factoring into the marginal densities. If X and Y are independent, their covariance is 0 and their correlation is undefined. Theorems shown include the expected value of sums and products of independent random variables. Covariance and correlation are introduced as measures of dependence between random variables. Examples are provided to illustrate independen

Author

psprajme

Language

EN