Logistic Distribution - rFronteddu/general_wiki GitHub Wiki

X~Logistic(μ, S): "X follows a Logistic distribution with mean mu and scale S."

  • Often used to evaluate how continuous input affects a binary output (such as forecasting outcomes)
  • Mu determines the center of the distribution while S how spread it is.

logistic logistic2

  • Once we reach near the mean, probability drastically goes up.
  • The smaller the scale, the later the graph picks up.
  • E(Y) = μ
  • Var(X) = $\frac{{πσ}^2}{3}$