ev2cdf(3f) - [M_datapac:CUMULATIVE_DISTRIBUTION] compute the extreme value type 2 (Frechet) cumulative distribution function
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Description
Input Arguments
Output Arguments
Examples
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SUBROUTINE EV2CDF(X,Gamma,Cdf)
REAL(kind=wp),intent(in) :: X REAL(kind=wp),intent(in) :: Gamma REAL(kind=wp),intent(out) :: Cdf
EV2CDF(3f) computes the cumulative distribution function value for the extreme value type 2 distribution with REAL tail length parameter = GAMMA.The extreme value type 2 distribution used herein is defined for all non-negative X, and has the probability density function
f(X) = GAMMA * (X**(-GAMMA-1)) * exp(-(X**(-GAMMA)))
X The value at which the cumulative distribution function is to be evaluated. X should be non-negative. GAMMA The value of the tail length parameter. GAMMA should be positive.
CDF The cumulative distribution function value for the extreme value type 2 distribution with tail length parameter value = GAMMA.
Sample program:
program demo_ev2cdf use M_datapac, only : ev2cdf implicit none ! call ev2cdf(x,y) end program demo_ev2cdfResults:
The original DATAPAC library was written by James Filliben of the Statistical Engineering Division, National Institute of Standards and Technology.
John Urban, 2022.05.31
CC0-1.0
o Johnson and Kotz, Continuous Univariate Distributions--1, 1970, pages 272-295.
Nemo Release 3.1 | ev2cdf (3) | February 23, 2025 |