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gamma random variable (Definition)

A gamma random variable with parameters $ \alpha>0$ and $ \lambda>0$ is one whose probability density function is given by

$\displaystyle f_X(x) = \frac{ \lambda^\alpha}{\Gamma(\alpha)} x^{\alpha - 1} e^{-\lambda x}$    

for $ x>0$, and is denoted by $ X\sim Gamma(\alpha, \lambda)$.

Notes:

  1. Gamma random variables are widely used in many applications. Taking $ \alpha = 1$ reduces the form to that of an exponential random variable. If $ \alpha = \frac{n}{2}$ and $ \lambda = \frac{1}{2}$, this is a chi-squared random variable.
  2. The function $ \Gamma: [0,\infty] \to R$ is the gamma function, defined as $ \Gamma(t) = \int_{0}^{\infty}{x^{t-1} e^{-x} dx}$.
  3. The expected value of a gamma random variable is given by $ E[X]=\frac{\alpha}{\lambda}$, and the variance by $ Var[X] = \frac{\alpha}{\lambda^2}$
  4. The moment generating function of a gamma random variable is given by $ M_X(t) = (\frac{\lambda}{\lambda - t})^\alpha$.

If the first parameter is a positive integer, the variate is usually called Erlang random variate. The sum of $ n$ exponentially distributed variables with parameter $ \lambda$ is a gamma (Erlang) variate with parameters $ n, \lambda$.



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Other names:  gamma distribution
Also defines:  Erlang random variable
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Cross-references: variables, sum, integer, positive, moment generating function, variance, expected value, gamma function, function, chi-squared random variable, exponential random variable, probability density function, parameters
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This is version 9 of gamma random variable, born on 2001-10-26, modified 2006-10-25.
Object id is 529, canonical name is GammaRandomVariable.
Accessed 13530 times total.

Classification:
AMS MSC60-00 (Probability theory and stochastic processes :: General reference works )
 62-00 (Statistics :: General reference works )

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