Gamma Distribution

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Created

Created

2023 Mar 28 2:38

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Edited

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2025 May 7 0:5

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A continuous probability distribution that generalizes and contains many other distributions

Exponential distribution

chi Square Distribution

Maxwell–Boltzmann distribution

Erlang distribution

f(x;\alpha,\theta) = \begin{cases} \displaystyle \frac{1}{\Gamma(\alpha)\,\theta^\alpha}\,x^{\alpha-1}e^{-x/\theta}, & x>0,\;\alpha>0,\;\theta>0,\\[1em] 0, & \text{otherwise}. \end{cases}

Normal distribution 을 block

Gamma distribution

In probability theory and statistics, the gamma distribution is a versatile two-parameter family of continuous probability distributions. The exponential distribution, Erlang distribution, and chi-squared distribution are special cases of the gamma distribution. There are two equivalent parameterizations in common use:With a shape parameter α and a scale parameter θ With a shape parameter and a rate parameter ⁠⁠

Gamma distribution

https://en.wikipedia.org/wiki/Gamma_distribution

Gamma distribution

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