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What is Joint Characteristic Functions and Covariance about?
This document introduces parameters to represent the joint behavior of two random variables (RVs), including their covariance and correlation. It defines the covariance of two RVs X and Y as the expected value of their product minus the product of their expected values. The correlation coefficient ρXY represents the normalized covariance and satisfies -1 ≤ ρXY ≤ 1. Two RVs are uncorrelated if ρXY = 0, and orthogonal if their expected product is 0. The document also introduces the joint characteristic functi
- Author
- Andres Heredia
- Language
- EN