time-to-botec

Benchmark sampling in different programming languages
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      1 <!--
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      3 @license Apache-2.0
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      5 Copyright (c) 2018 The Stdlib Authors.
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      7 Licensed under the Apache License, Version 2.0 (the "License");
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     11    http://www.apache.org/licenses/LICENSE-2.0
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     13 Unless required by applicable law or agreed to in writing, software
     14 distributed under the License is distributed on an "AS IS" BASIS,
     15 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     16 See the License for the specific language governing permissions and
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     20 
     21 # Poisson
     22 
     23 > Poisson distribution.
     24 
     25 <section class="usage">
     26 
     27 ## Usage
     28 
     29 ```javascript
     30 var poisson = require( '@stdlib/stats/base/dists/poisson' );
     31 ```
     32 
     33 #### poisson
     34 
     35 Poisson distribution.
     36 
     37 ```javascript
     38 var dist = poisson;
     39 // returns {...}
     40 ```
     41 
     42 The namespace contains the following distribution functions:
     43 
     44 <!-- <toc pattern="*+(cdf|pmf|mgf|quantile)*"> -->
     45 
     46 <div class="namespace-toc">
     47 
     48 -   <span class="signature">[`cdf( x, lambda )`][@stdlib/stats/base/dists/poisson/cdf]</span><span class="delimiter">: </span><span class="description">Poisson distribution cumulative distribution function.</span>
     49 -   <span class="signature">[`logpmf( x, lambda )`][@stdlib/stats/base/dists/poisson/logpmf]</span><span class="delimiter">: </span><span class="description">evaluate the natural logarithm of the probability mass function (PMF) for a Poisson distribution.</span>
     50 -   <span class="signature">[`mgf( t, lambda )`][@stdlib/stats/base/dists/poisson/mgf]</span><span class="delimiter">: </span><span class="description">Poisson distribution moment-generating function (MGF).</span>
     51 -   <span class="signature">[`pmf( x, lambda )`][@stdlib/stats/base/dists/poisson/pmf]</span><span class="delimiter">: </span><span class="description">Poisson distribution probability mass function (PMF).</span>
     52 -   <span class="signature">[`quantile( p, lambda )`][@stdlib/stats/base/dists/poisson/quantile]</span><span class="delimiter">: </span><span class="description">Poisson distribution quantile function.</span>
     53 
     54 </div>
     55 
     56 <!-- </toc> -->
     57 
     58 The namespace contains the following functions for calculating distribution properties:
     59 
     60 <!-- <toc pattern="*+(entropy|kurtosis|mean|median|mode|skewness|stdev|variance)*"> -->
     61 
     62 <div class="namespace-toc">
     63 
     64 -   <span class="signature">[`kurtosis( lambda )`][@stdlib/stats/base/dists/poisson/kurtosis]</span><span class="delimiter">: </span><span class="description">Poisson distribution excess kurtosis.</span>
     65 -   <span class="signature">[`mean( lambda )`][@stdlib/stats/base/dists/poisson/mean]</span><span class="delimiter">: </span><span class="description">Poisson distribution expected value.</span>
     66 -   <span class="signature">[`median( lambda )`][@stdlib/stats/base/dists/poisson/median]</span><span class="delimiter">: </span><span class="description">Poisson distribution median.</span>
     67 -   <span class="signature">[`mode( lambda )`][@stdlib/stats/base/dists/poisson/mode]</span><span class="delimiter">: </span><span class="description">Poisson distribution mode.</span>
     68 -   <span class="signature">[`skewness( lambda )`][@stdlib/stats/base/dists/poisson/skewness]</span><span class="delimiter">: </span><span class="description">Poisson distribution skewness.</span>
     69 -   <span class="signature">[`stdev( lambda )`][@stdlib/stats/base/dists/poisson/stdev]</span><span class="delimiter">: </span><span class="description">Poisson distribution standard deviation.</span>
     70 -   <span class="signature">[`variance( lambda )`][@stdlib/stats/base/dists/poisson/variance]</span><span class="delimiter">: </span><span class="description">Poisson distribution variance.</span>
     71 
     72 </div>
     73 
     74 <!-- </toc> -->
     75 
     76 The namespace contains a constructor function for creating a [Poisson][poisson-distribution] distribution object.
     77 
     78 <!-- <toc pattern="*ctor*"> -->
     79 
     80 <div class="namespace-toc">
     81 
     82 -   <span class="signature">[`Poisson( [lambda] )`][@stdlib/stats/base/dists/poisson/ctor]</span><span class="delimiter">: </span><span class="description">Poisson distribution constructor.</span>
     83 
     84 </div>
     85 
     86 <!-- </toc> -->
     87 
     88 ```javascript
     89 var Poisson = require( '@stdlib/stats/base/dists/poisson' ).Poisson;
     90 
     91 var dist = new Poisson( 2.0 );
     92 
     93 var y = dist.pmf( 3.0 );
     94 // returns ~0.18
     95 
     96 y = dist.pmf( 2.3 );
     97 // returns 0.0
     98 ```
     99 
    100 </section>
    101 
    102 <!-- /.usage -->
    103 
    104 <section class="examples">
    105 
    106 ## Examples
    107 
    108 <!-- TODO: better examples -->
    109 
    110 <!-- eslint no-undef: "error" -->
    111 
    112 ```javascript
    113 var objectKeys = require( '@stdlib/utils/keys' );
    114 var poisson = require( '@stdlib/stats/base/dists/poisson' );
    115 
    116 console.log( objectKeys( poisson ) );
    117 ```
    118 
    119 </section>
    120 
    121 <!-- /.examples -->
    122 
    123 <section class="links">
    124 
    125 [poisson-distribution]: https://en.wikipedia.org/wiki/Poisson_distribution
    126 
    127 <!-- <toc-links> -->
    128 
    129 [@stdlib/stats/base/dists/poisson/ctor]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/ctor
    130 
    131 [@stdlib/stats/base/dists/poisson/kurtosis]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/kurtosis
    132 
    133 [@stdlib/stats/base/dists/poisson/mean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/mean
    134 
    135 [@stdlib/stats/base/dists/poisson/median]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/median
    136 
    137 [@stdlib/stats/base/dists/poisson/mode]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/mode
    138 
    139 [@stdlib/stats/base/dists/poisson/skewness]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/skewness
    140 
    141 [@stdlib/stats/base/dists/poisson/stdev]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/stdev
    142 
    143 [@stdlib/stats/base/dists/poisson/variance]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/variance
    144 
    145 [@stdlib/stats/base/dists/poisson/cdf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/cdf
    146 
    147 [@stdlib/stats/base/dists/poisson/logpmf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/logpmf
    148 
    149 [@stdlib/stats/base/dists/poisson/mgf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/mgf
    150 
    151 [@stdlib/stats/base/dists/poisson/pmf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/pmf
    152 
    153 [@stdlib/stats/base/dists/poisson/quantile]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/poisson/quantile
    154 
    155 <!-- </toc-links> -->
    156 
    157 </section>
    158 
    159 <!-- /.links -->