expcdf(3f) - [M_datapac:CUMULATIVE_DISTRIBUTION] compute the exponential cumulative distribution function
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Description
Input Arguments
Output Arguments
Examples
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SUBROUTINE EXPCDF(X,Cdf)
REAL(kind=wp),intent(in) :: X REAL(kind=wp),intent(out) :: Cdf
EXPCDF(3f) computes the cumulative distribution function value for the exponential distribution with mean = 1 and standard deviation = 1.This distribution is defined for all non-negative X, and has the probability density function
f(x) = exp(-x)
X The value at which the cumulative distribution function is to be evaluated. X should be non-negative.
CDF The cumulative distribution function value.
Sample program:
program demo_expcdf use M_datapac, only : expcdf implicit none ! call expcdf(x,y) end program demo_expcdfResults:
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 207-232.
Nemo Release 3.1 | expcdf (3) | February 23, 2025 |