Definition 5.4.5. Theoretical Measures.
Given a random variable with probability function f(x) over space R
- The mean of \(X = \mu = E[x]\)
- The variance of \(X = \sigma^2 = \) Var(X) \(= E[(x-\mu)^2]\)
- The skewness of \(X = \gamma_1 = \frac{E[(x-\mu)^3]}{\sigma^3}\)
- The kurtosis of \(X = \gamma_2 = \frac{E[(x-\mu)^4]}{\sigma^4}\)