xbeta
Exponential distribution

Characterization

The probability density function? (pdf) of an exponential distribution with rate parameter λ is

f(x;λ)={λe λx, x0, 0, x<0.f(x;\lambda) = \begin{cases} \lambda e^{-\lambda x}, & x \ge 0, \\ 0, & x \lt 0. \end{cases}

The cumulative distribution function? (cdf) is

F(x;λ)={1e λx, x0, 0, x<0.F(x;\lambda) = \begin{cases} 1 - e^{-\lambda x}, & x \ge 0, \\ 0, & x \lt 0. \end{cases}

The distribution has support [0,). If a random variable X has this distribution, we write XExpo(λ).

Alternative parameterization

Sometimes the exponential distribution is parameterized by β=1λ where β is the mean of the Expo(λ) distribution. Thus, to avoid ambiguity it is important to specify whether the parameter denotes the rate or mean.