Cumulative Distribution Function

Weibull distribution cumulative distribution function.

The cumulative distribution function for a Weibull random variable is

where lambda > 0 is the scale parameter and k > 0 is the shape parameter.

Usage

var cdf = require( '@stdlib/stats/base/dists/weibull/cdf' );

cdf( x, k, lambda )

Evaluates the cumulative distribution function (CDF) for a Weibull distribution with shape parameter k and scale parameter lambda.

var y = cdf( 2.0, 1.0, 0.5 );
// returns ~0.982

y = cdf( 0.0, 1.0, 0.5 );
// returns 0.0

y = cdf( -Infinity, 4.0, 2.0 );
// returns 0.0

y = cdf( +Infinity, 4.0, 2.0 );
// returns 1.0

If provided NaN as any argument, the function returns NaN.

var y = cdf( NaN, 1.0, 1.0 );
// returns NaN

y = cdf( 0.0, NaN, 1.0 );
// returns NaN

y = cdf( 0.0, 1.0, NaN );
// returns NaN

If provided k <= 0, the function returns NaN.

var y = cdf( 2.0, 0.5, -1.0 );
// returns NaN

y = cdf( 2.0, 0.5, 0.0 );
// returns NaN

If provided lambda <= 0, the function returns NaN.

var y = cdf( 2.0, 0.5, -1.0 );
// returns NaN

y = cdf( 2.0, 0.5, 0.0 );
// returns NaN

cdf.factory( k, lambda )

Returns a function for evaluating the cumulative distribution function of a Weibull distribution with shape parameter k and scale parameter lambda.

var mycdf = cdf.factory( 2.0, 10.0 );

var y = mycdf( 10.0 );
// returns ~0.632

y = mycdf( 8.0 );
// returns ~0.473

Examples

var randu = require( '@stdlib/random/base/randu' );
var cdf = require( '@stdlib/stats/base/dists/weibull/cdf' );

var lambda;
var k;
var x;
var y;
var i;

for ( i = 0; i < 10; i++ ) {
    x = randu() * 10.0;
    lambda = randu() * 10.0;
    k = randu() * 10.0;
    y = cdf( x, k, lambda );
    console.log( 'x: %d, k: %d, λ: %d, F(x;k,λ): %d', x, k, lambda, y );
}

C APIs

Usage

#include "stdlib/stats/base/dists/weibull/cdf.h"

stdlib_base_dists_weibull_cdf( x, k, lambda )

Evaluates the cumulative distribution function (CDF) for a Weibull distribution with shape parameter k and scale parameter lambda.

double out = stdlib_base_dists_weibull_cdf( 2.0, 1.0, 1.0 );
// returns ~0.865

The function accepts the following arguments:

x: [in] double input value.
k: [in] double shape parameter.
lambda: [in] double scale parameter.

double stdlib_base_dists_weibull_cdf( const double x, const double k, const double lambda );

Examples

#include "stdlib/stats/base/dists/weibull/cdf.h"
#include <stdlib.h>
#include <stdio.h>

static double random_uniform( const double min, const double max ) {
    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
    return min + ( v*(max-min) );
}

int main( void ) {
    double lambda;
    double x;
    double k;
    double y;
    int i;

    for ( i = 0; i < 25; i++ ) {
        x = random_uniform( 0.0, 10.0 );
        lambda = random_uniform( 0.0, 10.0 );
        k = random_uniform( 0.0, 10.0 );
        y = stdlib_base_dists_weibull_cdf( x, k, lambda );
        printf( "x: %lf, k: %lf, λ: %lf, F(x;k,λ): %lf\n", x, k, lambda, y );
    }
}