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C Library Functions  - weib (3)

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NAME

weib(3f) - [M_datapac:ANALYSIS] perform a Weibull distribution analysis (Weibull PPCC analysis)

CONTENTS

Synopsis
Description
Options
Examples
Author
Maintainer
License
Reference

SYNOPSIS

SUBROUTINE WEIB(X,N)

DESCRIPTION

WEIB(3f) performs a Weibull distribution analysis on the data in the input vector X.

This analysis consists of determining that particular Weibull distribution which best fits the data set.

The goodness of fit criterion is the maximum probability plot correlation coefficient criterion.

After the best-fit distribution is determined, estimates are computed and printed out for the location and scale parameters.

Two probability plots are also printed out-- the best-fit Weibull probability plot and an extreme value type 1 probability plot (this is due to the fact that as the Weibull parameter gamma approaches infinity, the Weibull distribution approaches the extreme value type 1 distribution).

OPTIONS

X	description of parameter
Y	description of parameter

EXAMPLES

Sample program:

   program demo_weib
   use M_datapac, only : weib
   implicit none
   ! call weib(x,y)
   end program demo_weib

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

REFERENCE

o	Filliben (1972), ’Techniques for Tail Length Analysis’, Proceedings of the Eighteenth Conference on the Design of Experiments in Army Research and Testing, pages 425-450.
o	Filliben, ’The Percent Point Function’, Unpublished Manuscript.
o	Johnson and Kotz (1970), Continuous Univariate Distributions-1, pages 250-271.

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Nemo Release 3.1

weib (3)

February 23, 2025

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