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  2. Gamma distribution - Wikipedia

    en.wikipedia.org/wiki/Gamma_distribution

    In probability theory and statistics, the gamma distribution is a versatile two-parameter family of continuous probability distributions. [1] The exponential distribution, Erlang distribution, and chi-squared distribution are special cases of the gamma distribution. [2] There are two equivalent parameterizations in common use:

  3. List of probability distributions - Wikipedia

    en.wikipedia.org/wiki/List_of_probability...

    The Gamma distribution, which describes the time until n consecutive rare random events occur in a process with no memory. The Erlang distribution, which is a special case of the gamma distribution with integral shape parameter, developed to predict waiting times in queuing systems; The inverse-gamma distribution; The generalized gamma distribution

  4. Generalized gamma distribution - Wikipedia

    en.wikipedia.org/wiki/Generalized_gamma_distribution

    The generalized gamma distribution is a continuous probability distribution with two shape parameters (and a scale parameter). It is a generalization of the gamma distribution which has one shape parameter (and a scale parameter).

  5. Microsoft PowerPoint - Wikipedia

    en.wikipedia.org/wiki/Microsoft_PowerPoint

    The first version was introduced with PowerPoint 3.0 in 1992, to enable electronic presentations to be projected using conference-room computers and to be freely distributed; on Windows, it took advantage of the new feature of embedding TrueType fonts within PowerPoint presentation files to make such distribution easier. [175]

  6. Natural exponential family - Wikipedia

    en.wikipedia.org/wiki/Natural_exponential_family

    The gamma distribution with two parameters is an exponential family but not a NEF and the chi-squared distribution is a special case of the gamma distribution with fixed scale parameter, and thus is also an exponential family but not a NEF (note that only a gamma distribution with fixed shape parameter is a NEF).

  7. Gamma process - Wikipedia

    en.wikipedia.org/wiki/Gamma_process

    Also known as the (Moran-)Gamma Process, [1] the gamma process is a random process studied in mathematics, statistics, probability theory, and stochastics. The gamma process is a stochastic or random process consisting of independently distributed gamma distributions where N ( t ) {\displaystyle N(t)} represents the number of event occurrences ...

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