npm package: @stdlib/stats-base-dists-degenerate-mean
Description: Degenerate distribution expected value.
Author: The Stdlib Authors
Latest version: 0.3.1

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# Mean

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> [Degenerate][degenerate-distribution] distribution [expected value][expected-value].

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

The [expected value][expected-value] for a [degenerate][degenerate-distribution] random variable is

<!-- <equation class="equation" label="eq:degenerate_expectation" align="center" raw="\mathbb{E}\left[ X \right] = \mu" alt="Expected value for a degenerate distribution."> -->

<div class="equation" align="center" data-raw-text="\mathbb{E}\left[ X \right] = \mu" data-equation="eq:degenerate_expectation">
    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e1fbdee688c5409e4cc6b0cd06d90b1cd2abd67c/lib/node_modules/@stdlib/stats/base/dists/degenerate/mean/docs/img/equation_degenerate_expectation.svg" alt="Expected value for a degenerate distribution.">
    <br>
</div>

<!-- </equation> -->

where `μ` is the constant value of the distribution.

</section>

<!-- /.intro -->

<!-- Package usage documentation. -->

<section class="installation">

## Installation

```bash
npm install @stdlib/stats-base-dists-degenerate-mean
```

</section>

<section class="usage">

## Usage

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

#### mean( mu )

Returns the [expected value][expected-value] of a [degenerate][degenerate-distribution] distribution with constant value `mu`.

```javascript
var v = mean( 10.0 );
// returns 10.0

v = mean( -0.5 );
// returns -0.5
```

</section>

<!-- /.usage -->

<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

</section>

<!-- /.notes -->

<!-- Package usage examples. -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var mean = require( '@stdlib/stats-base-dists-degenerate-mean' );

var opts = {
    'dtype': 'float64'
};
var mu = uniform( 10, 0.0, 1.0, opts );

logEachMap( 'µ: %0.4f, E(X;µ): %0.4f', mu, mean );
```

</section>

<!-- /.examples -->

<!-- C interface documentation. -->

* * *

<section class="c">

## C APIs

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- C usage documentation. -->

<section class="usage">

### Usage

```c
#include "stdlib/stats/base/dists/degenerate/mean.h"
```

#### stdlib_base_dists_degenerate_mean( mu )

Returns the [expected value][expected-value] of a [degenerate][degenerate-distribution] distribution with constant value `mu`.

```c
double out = stdlib_base_dists_degenerate_mean( 0.1 );
// returns 0.1
```

The function accepts the following arguments:

-   **mu**: `[in] double` constant value of the distribution.

```c
double stdlib_base_dists_degenerate_mean( const double mu );
```

</section>

<!-- /.usage -->

<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

</section>

<!-- /.notes -->

<!-- C API usage examples. -->

<section class="examples">

### Examples

```c
#include "stdlib/stats/base/dists/degenerate/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 v;
    int i;

    for ( i = 0; i < 25; i++ ) {
        mu = random_uniform( 0.0, 1.0 );
        v = stdlib_base_dists_degenerate_mean( mu );
        printf( "µ: %lf, E(X;µ): %lf\n", mu, v );
    }
}
```

</section>

<!-- /.examples -->

</section>

<!-- /.c -->

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<section class="references">

</section>

<!-- /.references -->

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<section class="related">

</section>

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<section class="main-repo" >

* * *

## Notice

This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].

#### Community

[![Chat][chat-image]][chat-url]

---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

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[degenerate-distribution]: https://en.wikipedia.org/wiki/Degenerate_distribution

[expected-value]: https://en.wikipedia.org/wiki/Expected_value

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