@stdlib/stats/base/dists/poisson/ctor/README.md

Standard library statistical functions.

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# Poisson

> Poisson distribution constructor.

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## Usage

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

#### Poisson( \[lambda] )

Returns an [Poisson][poisson-distribution] distribution object.

```javascript
var poisson = new Poisson();

var lambda = poisson.mean;
// returns 1.0
```

By default, `lambda = 1.0`. To create a distribution having a different mean parameter `lambda`, provide a parameter value.

```javascript
var poisson = new Poisson( 4.0 );

var lambda = poisson.mean;
// returns 4.0
```

* * *

## poisson

A [Poisson][poisson-distribution] distribution object has the following properties and methods...

### Writable Properties

#### poisson.lambda

Mean parameter of the distribution. `lambda` **must** be a positive number.

```javascript
var poisson = new Poisson( 2.0 );

var lambda = poisson.lambda;
// returns 2.0

poisson.lambda = 3.0;

lambda = poisson.lambda;
// returns 3.0
```

* * *

### Computed Properties

#### Poisson.prototype.entropy

Returns the [differential entropy][entropy].

```javascript
var poisson = new Poisson( 4.0 );

var entropy = poisson.entropy;
// returns ~2.087
```

#### Poisson.prototype.kurtosis

Returns the [excess kurtosis][kurtosis].

```javascript
var poisson = new Poisson( 4.0 );

var kurtosis = poisson.kurtosis;
// returns 0.25
```

#### Poisson.prototype.mean

Returns the [median][expected-value].

```javascript
var poisson = new Poisson( 4.0 );

var mu = poisson.mean;
// returns 4.0
```

#### Poisson.prototype.median

Returns the [median][median].

```javascript
var poisson = new Poisson( 4.0 );

var median = poisson.median;
// returns 4.0
```

#### Poisson.prototype.mode

Returns the [mode][mode].

```javascript
var poisson = new Poisson( 4.0 );

var mode = poisson.mode;
// returns 4.0
```

#### Poisson.prototype.skewness

Returns the [skewness][skewness].

```javascript
var poisson = new Poisson( 4.0 );

var skewness = poisson.skewness;
// returns 0.5
```

#### Poisson.prototype.stdev

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

```javascript
var poisson = new Poisson( 4.0 );

var s = poisson.stdev;
// returns 2.0
```

#### Poisson.prototype.variance

Returns the [variance][variance].

```javascript
var poisson = new Poisson( 4.0 );

var s2 = poisson.variance;
// returns 4.0
```

* * *

### Methods

#### Poisson.prototype.cdf( x )

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

```javascript
var poisson = new Poisson( 2.0 );

var y = poisson.cdf( 0.5 );
// returns ~0.135
```

#### Poisson.prototype.logpmf( x )

Evaluates the natural logarithm of the [probability mass function][pmf] (PMF).

```javascript
var poisson = new Poisson( 2.0 );

var y = poisson.logpmf( 3.0 );
// returns ~-1.712

y = poisson.logpmf( 2.3 );
// returns -Infinity
```

#### Poisson.prototype.mgf( t )

Evaluates the [moment-generating function][mgf] (MGF).

```javascript
var poisson = new Poisson( 2.0 );

var y = poisson.mgf( 0.5 );
// returns ~3.66
```

#### Poisson.prototype.pmf( x )

Evaluates the [probability mass function][pmf] (PMF).

```javascript
var poisson = new Poisson( 2.0 );

var y = poisson.pmf( 3.0 );
// returns ~0.18

y = poisson.pmf( 2.3 );
// returns 0.0
```

#### Poisson.prototype.quantile( p )

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

```javascript
var poisson = new Poisson( 2.0 );

var y = poisson.quantile( 0.5 );
// returns 2.0

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

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* * *

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## Examples

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

var poisson = new Poisson( 2.0 );

var mu = poisson.mean;
// returns 2.0

var mode = poisson.mode;
// returns 2.0

var s2 = poisson.variance;
// returns 2.0

var y = poisson.cdf( 0.8 );
// returns ~0.135
```

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[poisson-distribution]: https://en.wikipedia.org/wiki/Poisson_distribution

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

[mgf]: https://en.wikipedia.org/wiki/Moment-generating_function

[pmf]: https://en.wikipedia.org/wiki/Probability_mass_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

[mode]: https://en.wikipedia.org/wiki/Mode_%28statistics%29

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

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

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

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