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・ Discrete series representation
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Discrete-stable distribution
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Discrete-stable distribution : ウィキペディア英語版
Discrete-stable distribution
The discrete-stable distributions are a class of probability distributions with the property that the sum of several random variables from such a distribution is distributed according to the same family. They are the discrete analogue of the continuous-stable distributions.
The discrete-stable distributions have been used in numerous fields, in particular in scale-free networks such as the internet, social networks〔Barabási, Albert-László (2003). Linked: how everything is connected to everything else and what it means for business, science, and everyday life. New York, NY: Plum.〕 or even semantic networks
Both classes of distribution have properties such as infinitely divisibility, power law tails and unimodality.
The most well-known discrete stable distribution is the Poisson distribution which is a special case as the only discrete-stable distribution for which the mean and all higher-order moments are finite.
== Definition ==
The discrete-stable distributions are defined through their probability-generating function
:G(s| \nu,a)=\sum_^\infty P(N| \nu,a)(1-s)^N = \exp(-a s^\nu).
In the above, a>0 is a scale parameter and 0<\nu\le1 describes the power-law behaviour such that when 0<\nu<1,
: \lim_P(N|\nu,a) \sim \frac\frac\right|_.
A closed-form expression using elementary functions for the probability distribution of the discrete-stable distributions is not known except for in the Poisson case, in which
:\!P(N| \nu=1, a)= \frac.
Expressions do exist, however, using special functions for the case \nu=1/2 (in terms of Bessel functions) and \nu=1/3 (in terms of hypergeometric functions).

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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