CDF

Calculates the cumulative Weibull distribution

Controller: CodeCogs

Contents

Interface
CDF
Page Comments

Interface

C++

CDF

doubleCDF(	double	`x`
	double	`a`
	double	`b`	)

The two Parameter Weibull Distribution

$F(x,\alpha,\beta) = 1 - \exp \left( - { \left( \frac{x}{\beta} \right) }^{\alpha} \right)$

(2)

There is an error with your graph parameters for CDF with options x=0:4 a=1:4:4 b=1

Error Message:Function CDF failed. Ensure that: Invalid C++

Example 1

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

Output:

CDF(105,20,100) = 0.929581

References

M.Abramowitz and I.A.Stegun, Handbook of Mathematical Functions, 1964 chapt.26.1; http://www.weibull.com

Parameters

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

Returns

cumulative Weibull distribution

Authors

Anatoly Prognimack (Mar 31, 2005)
Developed and Tested with: Borland C++ 3.1 for DOS and Microsoft Visual C++ 5.0, 6.0
Updated by Will Bateman (April 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.