Linear Combination

For independent random variables X and Y with E(X)=μₓ, Var(X)=σₓ², E(Y)=μᵧ, Var(Y)=σᵧ², the linear combination Z = aX +

Geometric Distribution

12.1: Geometric Distribution

The geometric distribution models the number of independent Bernoulli trials X required until the first success, where e

Geometric Distribution

12.1: Geometric Distribution

The negative binomial distribution describes the number of trials X required to achieve r successes when each trial has

Geometric Distribution

12.1: Geometric Distribution

The continuous uniform distribution on interval [a, b] has constant probability density f(x) = 1/(b-a). It models situat

Geometric Distribution

12.1: Geometric Distribution

A Bernoulli trial is a random experiment with two mutually exclusive outcomes: success (with probability p) and failure

Geometric Distribution