Variance

Logistic distribution variance.

The variance for a logistic random variable with location μ and scale s > 0 is

upper V a r left-parenthesis upper X right-parenthesis equals StartFraction s squared pi squared Over 3 EndFraction

Usage

var variance = require( '@stdlib/stats/base/dists/logistic/variance' );

variance( mu, s )

Returns the variance for a logistic distribution with location parameter mu and scale parameter s.

var y = variance( 2.0, 1.0 );
// returns ~3.29

y = variance( 0.0, 1.0 );
// returns ~3.29

y = variance( -1.0, 4.0 );
// returns ~52.638

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

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

y = variance( 0.0, NaN );
// returns NaN

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

var y = variance( 0.0, 0.0 );
// returns NaN

y = variance( 0.0, -1.0 );
// returns NaN

Examples

var randu = require( '@stdlib/random/base/randu' );
var variance = require( '@stdlib/stats/base/dists/logistic/variance' );

var mu;
var s;
var y;
var i;

for ( i = 0; i < 10; i++ ) {
    mu = ( randu()*10.0 ) - 5.0;
    s = randu() * 20.0;
    y = variance( mu, s );
    console.log( 'µ: %d, s: %d, Var(X;µ,s): %d', mu.toFixed( 4 ), s.toFixed( 4 ), y.toFixed( 4 ) );
}

C APIs

Usage

#include "stdlib/stats/base/dists/logistic/variance.h"

stdlib_base_dists_logistic_variance( mu, s )

Returns the variance for a logistic distribution with location mu and scale s.

double out = stdlib_base_dists_logistic_variance( 0.0, 1.0 );
// returns ~3.29

The function accepts the following arguments:

  • mu: [in] double location parameter.
  • s: [in] double scale parameter.
double stdlib_base_dists_logistic_variance( const double mu, const double s );

Examples

#include "stdlib/stats/base/dists/logistic/variance.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 mu;
    double s;
    double y;
    int i;

    for ( i = 0; i < 25; i++ ) {
        mu = random_uniform( -5.0, 5.0 );
        s = random_uniform( 0.0, 20.0 );
        y = stdlib_base_dists_logistic_variance( mu, s );
        printf( "µ: %lf, s: %lf, Var(X;µ,s): %lf\n", mu, s, y );
    }
}
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