C Library Functions - expplt (3)
NAME
expplt(3f) - [M_datapac:LINE_PLOT] generate a exponential probability plot
CONTENTS
Synopsis
Description
Options
Examples
Author
Maintainer
License
References
SYNOPSIS
SUBROUTINE EXPPLT(X,N)
DESCRIPTION
expplt(3f) generates an exponential probability plot.the prototype exponential distribution used herein has 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).as used herein, a probability plot for a distribution is a plot of the ordered observations versus the order statistic medians for that distribution.
the exponential probability plot is useful in graphically testing the composite (that is, location and scale parameters need not be specified) hypothesis that the underlying distribution from which the data have been randomly drawn is the exponential distribution.
if the hypothesis is true, the probability plot should be near-linear.
a measure of such linearity is given by the calculated probability plot correlation coefficient.
OPTIONS
X description of parameter Y description of parameter
EXAMPLES
Sample program:
program demo_expplt use M_datapac, only : expplt implicit none ! call expplt(x,y) end program demo_exppltResults:
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, ’TECHNIQUES FOR TAIL LENGTH ANALYSIS’, PROCEEDINGS OF THE
EIGHTEENTH CONFERENCE ON THE DESIGN OF EXPERIMENTS IN ARMY RESEARCH
DEVELOPMENT AND TESTING (ABERDEEN, MARYLAND, OCTOBER, 1972), pages 425-450.
| o |
HAHN AND SHAPIRO, STATISTICAL METHODS IN ENGINEERING, 1967, pages 260-308.
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| Nemo Release 3.1 | expplt (3) | February 23, 2025 |
