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C Library Functions  - expsf (3)

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NAME

expsf(3f) - [M_datapac:SPARSITY] compute the exponential sparsity function

CONTENTS

Synopsis
Description
Input Arguments
Output Arguments
Examples
Author
Maintainer
License
References

SYNOPSIS

SUBROUTINE EXPSF(P,Sf)

       REAL(kind=wp),intent(in)  :: P
       REAL(kind=wp),intent(out) :: Sf

DESCRIPTION

EXPSF(3f) computes the sparsity 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)

Note that the sparsity function of a distribution is the derivative of the percent point function, and also is the reciprocal of the probability density function (but in units of P rather than X).

INPUT ARGUMENTS

P	The value at which the sparsity function is to be evaluated. P should be between 0.0 (inclusively) and 1.0 (exclusively).

OUTPUT ARGUMENTS

SF	The sparsity function value.

EXAMPLES

Sample program:

   program demo_expsf
   use M_datapac, only : expsf
   implicit none
   ! call expsf(x,y)
   end program demo_expsf

Results:

AUTHOR

The original DATAPAC library was written by James Filliben of the Statistical Engineering Division, National Institute of Standards and Technology.

MAINTAINER

John Urban, 2022.05.31

LICENSE

CC0-1.0

REFERENCES

o	Filliben, Simple and Robust Linear Estimation of the Location Parameter of a Symmetric Distribution (Unpublished PH.D. Dissertation, Princeton University), 1969, pages 21-44, 229-231.
o	Filliben, ’The Percent Point Function’, (Unpublished Manuscript), 1970, pages 28-31.
o	Johnson and Kotz, Continuous Univariate Distributions--1, 1970, pages 207-232.

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Nemo Release 3.1

expsf (3)

July 22, 2023

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