Interface PMF

Interface for the probability mass function (PMF) of a Poisson distribution.

Hierarchy

PMF

Callable

__call(x: number, lambda: number): number

- Defined in lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/docs/types/index.d.ts:32
Evaluates the probability mass function (PMF) for a Poisson distribution with mean parameter lambda at a value x.

Notes
- If provided a negative value for lambda, the function returns NaN.
Parameters
- x: number
  
  input value
- lambda: number
  
  mean parameter
Returns number

evaluated PMF

Example
```
var y = pmf( 4.0, 3.0 );
// returns ~0.168
```
Example
```
var y = pmf( 1.0, 3.0 );
// returns ~0.149
```
Example
```
var y = pmf( -1.0, 2.0 );
// returns 0.0
```
Example
```
var y = pmf( 0.0, NaN );
// returns NaN
```
Example
```
var y = pmf( NaN, 0.5 );
// returns NaN
```
Example
```
// Invalid mean parameter:
var y = pmf( 2.0, -0.5 );
// returns NaN
```

Index

Methods

factory

Methods

factory

factory(lambda: number): Unary

- Defined in lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/docs/types/index.d.ts:85
Returns a function for evaluating the probability mass function (PMF) for a Poisson distribution with mean parameter lambda.

Parameters
- lambda: number
  
  mean parameter
Returns Unary

PMF

Example
```
var mypmf = pmf.factory( 1.0 );
var y = mypmf( 3.0 );
// returns ~0.061

y = mypmf( 1.0 );
// returns ~0.368
```