PDF

The two-parameter Weibull probability density function

Controller: CodeCogs

Contents

Interface
PDF
Page Comments

Interface

C++

HTML

Name	HTML Code
PDF The two-parameter Weibull probability density function	<script type="text/javascript" src="http://www.codecogs.com/ic_json-215&u=5"></script>

PDF

PDF Calculator

Add calculator to website or email

doublePDF(	double	`x`
	double	`a`
	double	`b`	)

The Weibull distribution is a two-parameter distribution named after Waloddi Weibull. It is often also called the Rosin-Rammler distribution when used to describe the size distribution of particles.

The probability density function, given by

$f(x) = \frac{a}{b}{{\left( \frac{x}{b} \right)}^{a-1}} e^{-{{(x/b) }^a}}$

(1)

$\graph x=50:150, a=5:20:4, b=100$

In its standard form, b=1, therefore

$f(x) = a x^{a-1} e^{- x^a}$

(2)

$\graph x=0:2, a=5:20:4, b=1$

References:

M.Abramowitz and I.A.Stegun, Handbook of Mathematical Functions, 1964 chapt.26.1; http://www.weibull.com
Weibull, W. (1951) A statistical distribution function of wide applicability. J. Appl. Mech.-Trans. ASME 18(3), 293-297

Example 1

#include <iostream>
#include <codecogs/stats/dists/continuous/weibull/pdf.h>
using namespace Stats::Dists::Continuous::Weibull;
 
int main()
{
  std::cout << "PDF(105,20,100) = " << PDF( 105, 20, 100 ) << std::endl;
  return 0;
}

Output

PDF(105,20,100) = 0.035589

Parameters

x	the value at which to evaluate the distribution
a	shape parameter
b	scale parameter

Returns

probability density value

Authors

Anatoly Prognimack (Mar 19, 2005)
Developed and tested with: Borland C++ 3.1 for DOS and Microsoft Visual C++ 5.0, 6.0
Updated by Will Bateman (March 2005)

Source Code

Source code is available when you agree to a GP Licence or buy a Commercial Licence.

Not a member, then Register with CodeCogs. Already a Member, then Login.

Page Comments

You must login to leave a messge