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# Uniform

> Uniform distribution constructor.

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## Usage

```javascript
var Uniform = require( '@stdlib/stats/base/dists/uniform/ctor' );
```

#### Uniform( \[a, b] )

Returns an [uniform][uniform-distribution] distribution object.

```javascript
var uniform = new Uniform();

var mu = uniform.mean;
// returns 0.5
```

By default, `a = 0.0` and `b = 1.0`. To create a distribution having a different `a` (minimum support) and `b` (maximum support), provide the corresponding arguments.

```javascript
var uniform = new Uniform( 2.0, 4.0 );

var mu = uniform.mean;
// returns 3.0
```

* * *

## uniform

An [uniform][uniform-distribution] distribution object has the following properties and methods...

### Writable Properties

#### uniform.a

Minimum support of the distribution. `a` **must** be a number smaller than `b`.

```javascript
var uniform = new Uniform();

var a = uniform.a;
// returns 0.0

uniform.a = 0.5;

a = uniform.a;
// returns 0.5
```

#### uniform.b

Maximum support of the distribution. `b` **must** be a number larger than `a`.

```javascript
var uniform = new Uniform( 2.0, 4.0 );

var b = uniform.b;
// returns 4.0

uniform.b = 3.0;

b = uniform.b;
// returns 3.0
```

* * *

### Computed Properties

#### Uniform.prototype.entropy

Returns the [differential entropy][entropy].

```javascript
var uniform = new Uniform( 4.0, 12.0 );

var entropy = uniform.entropy;
// returns ~2.079
```

#### Uniform.prototype.kurtosis

Returns the [excess kurtosis][kurtosis].

```javascript
var uniform = new Uniform( 4.0, 12.0 );

var kurtosis = uniform.kurtosis;
// returns -1.2
```

#### Uniform.prototype.mean

Returns the [expected value][expected-value].

```javascript
var uniform = new Uniform( 4.0, 12.0 );

var mu = uniform.mean;
// returns 8.0
```

#### Uniform.prototype.median

Returns the [median][median].

```javascript
var uniform = new Uniform( 4.0, 12.0 );

var median = uniform.median;
// returns 8.0
```

#### Uniform.prototype.skewness

Returns the [skewness][skewness].

```javascript
var uniform = new Uniform( 4.0, 12.0 );

var skewness = uniform.skewness;
// returns 0.0
```

#### Uniform.prototype.stdev

Returns the [standard deviation][standard-deviation].

```javascript
var uniform = new Uniform( 4.0, 12.0 );

var s = uniform.stdev;
// returns ~2.309
```

#### Uniform.prototype.variance

Returns the [variance][variance].

```javascript
var uniform = new Uniform( 4.0, 12.0 );

var s2 = uniform.variance;
// returns ~5.333
```

* * *

### Methods

#### Uniform.prototype.cdf( x )

Evaluates the [cumulative distribution function][cdf] (CDF).

```javascript
var uniform = new Uniform( 2.0, 4.0 );

var y = uniform.cdf( 2.5 );
// returns 0.25
```

#### Uniform.prototype.logcdf( x )

Evaluates the natural logarithm of the [cumulative distribution function][cdf] (CDF).

```javascript
var uniform = new Uniform( 2.0, 4.0 );

var y = uniform.logcdf( 2.5 );
// returns ~-1.386
```

#### Uniform.prototype.logpdf( x )

Evaluates the natural logarithm of the [probability density function][pdf] (PDF).

```javascript
var uniform = new Uniform( 2.0, 4.0 );

var y = uniform.logpdf( 2.5 );
// returns ~-0.693
```

#### Uniform.prototype.pdf( x )

Evaluates the [probability density function][pdf] (PDF).

```javascript
var uniform = new Uniform( 2.0, 4.0 );

var y = uniform.pdf( 2.5 );
// returns 0.5
```

#### Uniform.prototype.quantile( p )

Evaluates the [quantile function][quantile-function] at probability `p`.

```javascript
var uniform = new Uniform( 2.0, 4.0 );

var y = uniform.quantile( 0.5 );
// returns 3.0

y = uniform.quantile( 1.9 );
// returns NaN
```

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* * *

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## Examples

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

```javascript
var Uniform = require( '@stdlib/stats/base/dists/uniform/ctor' );

var uniform = new Uniform( 2.0, 4.0 );

var mu = uniform.mean;
// returns 3.0

var median = uniform.median;
// returns 3.0

var s2 = uniform.variance;
// returns ~0.333

var y = uniform.cdf( 2.5 );
// returns 0.25
```

</section>

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</section>

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<section class="links">

[uniform-distribution]: https://en.wikipedia.org/wiki/Uniform_distribution_%28continuous%29

[cdf]: https://en.wikipedia.org/wiki/Cumulative_distribution_function

[pdf]: https://en.wikipedia.org/wiki/Probability_density_function

[quantile-function]: https://en.wikipedia.org/wiki/Quantile_function

[entropy]: https://en.wikipedia.org/wiki/Entropy_%28information_theory%29

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

[kurtosis]: https://en.wikipedia.org/wiki/Kurtosis

[median]: https://en.wikipedia.org/wiki/Median

[skewness]: https://en.wikipedia.org/wiki/Skewness

[standard-deviation]: https://en.wikipedia.org/wiki/Standard_deviation

[variance]: https://en.wikipedia.org/wiki/Variance

</section>

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