time-to-botec

Benchmark sampling in different programming languages
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README.md (6796B)


      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 # Continuous Uniform
     22 
     23 > Continuous uniform distribution.
     24 
     25 <section class="usage">
     26 
     27 ## Usage
     28 
     29 ```javascript
     30 var uniform = require( '@stdlib/stats/base/dists/uniform' );
     31 ```
     32 
     33 #### uniform
     34 
     35 Continuous uniform distribution.
     36 
     37 ```javascript
     38 var dist = uniform;
     39 // returns {...}
     40 ```
     41 
     42 The namespace contains the following distribution functions:
     43 
     44 <!-- <toc pattern="*+(cdf|pdf|mgf|quantile)*"> -->
     45 
     46 <div class="namespace-toc">
     47 
     48 -   <span class="signature">[`cdf( x, a, b )`][@stdlib/stats/base/dists/uniform/cdf]</span><span class="delimiter">: </span><span class="description">uniform distribution cumulative distribution function.</span>
     49 -   <span class="signature">[`logcdf( x, a, b )`][@stdlib/stats/base/dists/uniform/logcdf]</span><span class="delimiter">: </span><span class="description">uniform distribution logarithm of cumulative distribution function.</span>
     50 -   <span class="signature">[`logpdf( x, a, b )`][@stdlib/stats/base/dists/uniform/logpdf]</span><span class="delimiter">: </span><span class="description">uniform distribution logarithm of probability density function (PDF).</span>
     51 -   <span class="signature">[`mgf( t, a, b )`][@stdlib/stats/base/dists/uniform/mgf]</span><span class="delimiter">: </span><span class="description">uniform distribution moment-generating function (MGF).</span>
     52 -   <span class="signature">[`pdf( x, a, b )`][@stdlib/stats/base/dists/uniform/pdf]</span><span class="delimiter">: </span><span class="description">uniform distribution probability density function (PDF).</span>
     53 -   <span class="signature">[`quantile( p, a, b )`][@stdlib/stats/base/dists/uniform/quantile]</span><span class="delimiter">: </span><span class="description">uniform distribution quantile function.</span>
     54 
     55 </div>
     56 
     57 <!-- </toc> -->
     58 
     59 The namespace contains the following functions for calculating distribution properties:
     60 
     61 <!-- <toc pattern="*+(entropy|kurtosis|mean|median|mode|skewness|stdev|variance)*"> -->
     62 
     63 <div class="namespace-toc">
     64 
     65 -   <span class="signature">[`entropy( a, b )`][@stdlib/stats/base/dists/uniform/entropy]</span><span class="delimiter">: </span><span class="description">uniform distribution differential entropy.</span>
     66 -   <span class="signature">[`kurtosis( a, b )`][@stdlib/stats/base/dists/uniform/kurtosis]</span><span class="delimiter">: </span><span class="description">uniform distribution excess kurtosis.</span>
     67 -   <span class="signature">[`mean( a, b )`][@stdlib/stats/base/dists/uniform/mean]</span><span class="delimiter">: </span><span class="description">uniform distribution expected value.</span>
     68 -   <span class="signature">[`median( a, b )`][@stdlib/stats/base/dists/uniform/median]</span><span class="delimiter">: </span><span class="description">uniform distribution median.</span>
     69 -   <span class="signature">[`skewness( a, b )`][@stdlib/stats/base/dists/uniform/skewness]</span><span class="delimiter">: </span><span class="description">uniform distribution skewness.</span>
     70 -   <span class="signature">[`stdev( a, b )`][@stdlib/stats/base/dists/uniform/stdev]</span><span class="delimiter">: </span><span class="description">uniform distribution standard deviation.</span>
     71 -   <span class="signature">[`variance( a, b )`][@stdlib/stats/base/dists/uniform/variance]</span><span class="delimiter">: </span><span class="description">uniform distribution variance.</span>
     72 
     73 </div>
     74 
     75 <!-- </toc> -->
     76 
     77 The namespace contains a constructor function for creating a [continuous uniform][uniform-distribution] distribution object.
     78 
     79 <!-- <toc pattern="*ctor*"> -->
     80 
     81 <div class="namespace-toc">
     82 
     83 -   <span class="signature">[`Uniform( [a, b] )`][@stdlib/stats/base/dists/uniform/ctor]</span><span class="delimiter">: </span><span class="description">uniform distribution constructor.</span>
     84 
     85 </div>
     86 
     87 <!-- </toc> -->
     88 
     89 ```javascript
     90 var Uniform = require( '@stdlib/stats/base/dists/uniform' ).Uniform;
     91 
     92 var dist = new Uniform( 2.0, 4.0 );
     93 
     94 var y = dist.cdf( 2.5 );
     95 // returns 0.25
     96 ```
     97 
     98 </section>
     99 
    100 <!-- /.usage -->
    101 
    102 <section class="examples">
    103 
    104 ## Examples
    105 
    106 <!-- TODO: better examples -->
    107 
    108 <!-- eslint no-undef: "error" -->
    109 
    110 ```javascript
    111 var objectKeys = require( '@stdlib/utils/keys' );
    112 var uniform = require( '@stdlib/stats/base/dists/uniform' );
    113 
    114 console.log( objectKeys( uniform ) );
    115 ```
    116 
    117 </section>
    118 
    119 <!-- /.examples -->
    120 
    121 <section class="links">
    122 
    123 [uniform-distribution]: https://en.wikipedia.org/wiki/Uniform_distribution_%28continuous%29
    124 
    125 <!-- <toc-links> -->
    126 
    127 [@stdlib/stats/base/dists/uniform/ctor]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/ctor
    128 
    129 [@stdlib/stats/base/dists/uniform/entropy]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/entropy
    130 
    131 [@stdlib/stats/base/dists/uniform/kurtosis]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/kurtosis
    132 
    133 [@stdlib/stats/base/dists/uniform/mean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/mean
    134 
    135 [@stdlib/stats/base/dists/uniform/median]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/median
    136 
    137 [@stdlib/stats/base/dists/uniform/skewness]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/skewness
    138 
    139 [@stdlib/stats/base/dists/uniform/stdev]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/stdev
    140 
    141 [@stdlib/stats/base/dists/uniform/variance]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/variance
    142 
    143 [@stdlib/stats/base/dists/uniform/cdf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/cdf
    144 
    145 [@stdlib/stats/base/dists/uniform/logcdf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/logcdf
    146 
    147 [@stdlib/stats/base/dists/uniform/logpdf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/logpdf
    148 
    149 [@stdlib/stats/base/dists/uniform/mgf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/mgf
    150 
    151 [@stdlib/stats/base/dists/uniform/pdf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/pdf
    152 
    153 [@stdlib/stats/base/dists/uniform/quantile]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/uniform/quantile
    154 
    155 <!-- </toc-links> -->
    156 
    157 </section>
    158 
    159 <!-- /.links -->