Mean

Logistic distribution expected value.

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

Usage

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

mean( mu, s )

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

var y = mean( 2.0, 1.0 );
// returns 2.0

y = mean( 0.0, 1.0 );
// returns 0.0

y = mean( -1.0, 4.0 );
// returns -1.0

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

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

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

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

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

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

Examples

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

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 = mean( mu, s );
    console.log( 'µ: %d, s: %d, E(X;µ,s): %d', mu.toFixed( 4 ), s.toFixed( 4 ), y.toFixed( 4 ) );
}

C APIs

Usage

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

stdlib_base_dists_logistic_mean( mu, s )

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

double out = stdlib_base_dists_logistic_mean( 0.0, 1.0 );
// returns 0.0

The function accepts the following arguments:

mu: [in] double location parameter.
s: [in] double scale parameter.

double stdlib_base_dists_logistic_mean( const double mu, const double s );

Examples

#include "stdlib/stats/base/dists/logistic/mean.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_mean( mu, s );
        printf( "µ: %lf, s: %lf, E(X;µ,s): %lf\n", mu, s, y );
    }
}