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Rayleigh distribution : ウィキペディア英語版
Rayleigh distribution

|
median =\sigma\sqrt\,|
mode =\sigma\,|
variance =\frac \sigma^2|
skewness =\frac|
entropy =1+\ln\left(\frac|
mgf =1+\sigma t\,e^\sqrt}
\left(\textrm\left(\frac\sqrt}\!\left(\textrm\!\left(\frac}
In probability theory and statistics, the Rayleigh distribution is a continuous probability distribution for positive-valued random variables.
A Rayleigh distribution is often observed when the overall magnitude of a vector is related to its directional components. One example where the Rayleigh distribution naturally arises is when wind velocity is analyzed into its orthogonal 2-dimensional vector components. Assuming that each component is uncorrelated, normally distributed with equal variance, and zero mean, then the overall wind speed (vector magnitude) will be characterized by a Rayleigh distribution. A second example of the distribution arises in the case of random complex numbers whose real and imaginary components are i.i.d. (independently and identically distributed) Gaussian with equal variance and zero mean. In that case, the absolute value of the complex number is Rayleigh-distributed.
The distribution is named after Lord Rayleigh.
==Definition==
The probability density function of the Rayleigh distribution is〔Papoulis, Athanasios; Pillai, S. (2001) ''Probability, Random Variables and Stochastic Processe''. ISBN 0073660116, ISBN 9780073660110 〕
:f(x;\sigma) = \frac e^, \quad x \geq 0,
where \sigma is the scale parameter of the distribution. The cumulative distribution function is〔
:F(x;\sigma) = 1 - e^
for x \in [0,\infty).

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