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ODP's article on rayleigh distribution h
In probability theory and statistics, the
Rayleigh distribution is a continuous probability distribution. It
usually arises when a two-dimensional vector (e.g. wind velocity)
has its two orthogonal components normally and independently distributed. The
absolute value (e.g. wind speed) will then have a Rayleigh distribution. The distribution may
also arise in the case of random complex numbers whose real and imaginary components are normally and independently distributed.
The absolute value of these numbers will then be Rayleigh-distributed.
The probability density function is
The characteristic function is given by:
where is
the complex error function. The moment
generating function is given by
where erf(z) is the error
function. The raw moments are then given by
where Γ(z) is the Gamma function. The moments may
be used to calculate:
Mean:
Variance:
Skewness:
Kurtosis:
Parameter estimation
Given N independent and identically distributed Rayleigh random variables with parameter σ, the maximum likelihood estimate of σ
is
Related distributions
See also
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