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# npm

## @stdlib/stats-base-dists-lognormal-mean 0.0.6 • Public • Published

# Mean

Lognormal distribution expected value.

The mean for a lognormal random variable is

where `μ` is the location parameter and `σ > 0` is the scale parameter. According to the definition, the natural logarithm of a random variable from a lognormal distribution follows a normal distribution.

## Installation

`npm install @stdlib/stats-base-dists-lognormal-mean`

## Usage

`var mean = require( '@stdlib/stats-base-dists-lognormal-mean' );`

#### mean( mu, sigma )

Returns the expected value for a lognormal distribution with location `mu` and scale `sigma`.

```var y = mean( 2.0, 1.0 );
// returns ~12.182

y = mean( 0.0, 1.0 );
// returns ~1.649

y = mean( -1.0, 4.0 );
// returns ~1096.633```

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 `sigma <= 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-lognormal-mean' );

var sigma;
var mu;
var y;
var i;

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

## Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

#### Community ### Install

`npm i @stdlib/stats-base-dists-lognormal-mean`

stdlib.io

96

0.0.6