time-to-botec

Benchmark sampling in different programming languages
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README.md (4872B)


      1 <!--
      2 
      3 @license Apache-2.0
      4 
      5 Copyright (c) 2018 The Stdlib Authors.
      6 
      7 Licensed under the Apache License, Version 2.0 (the "License");
      8 you may not use this file except in compliance with the License.
      9 You may obtain a copy of the License at
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     11    http://www.apache.org/licenses/LICENSE-2.0
     12 
     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
     17 limitations under the License.
     18 
     19 -->
     20 
     21 # Moment-Generating Function
     22 
     23 > [Beta][beta-distribution] distribution moment-generating function (MGF).
     24 
     25 <!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
     26 
     27 <section class="intro">
     28 
     29 The [moment-generating function][mgf] for a [beta][beta-distribution] random variable is
     30 
     31 <!-- <equation class="equation" label="eq:beta_beta_mgf" align="center" raw="M_X(t) := \mathbb{E}\!\left[e^{tX}\right] = 1 +\sum_{k=1}^{\infty} \left( \prod_{r=0}^{k-1} \frac{\alpha+r}{\alpha+\beta+r} \right) \frac{t^k}{k!}" alt="Moment-generating function (MGF) for a beta distribution."> -->
     32 
     33 <div class="equation" align="center" data-raw-text="M_X(t) := \mathbb{E}\!\left[e^{tX}\right] = 1 +\sum_{k=1}^{\infty} \left( \prod_{r=0}^{k-1} \frac{\alpha+r}{\alpha+\beta+r} \right) \frac{t^k}{k!}" data-equation="eq:beta_beta_mgf">
     34     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@591cf9d5c3a0cd3c1ceec961e5c49d73a68374cb/lib/node_modules/@stdlib/stats/base/dists/beta/mgf/docs/img/equation_beta_beta_mgf.svg" alt="Moment-generating function (MGF) for a beta distribution.">
     35     <br>
     36 </div>
     37 
     38 <!-- </equation> -->
     39 
     40 where `alpha > 0` is the first shape parameter and `beta > 0` is the second shape parameter.
     41 
     42 </section>
     43 
     44 <!-- /.intro -->
     45 
     46 <!-- Package usage documentation. -->
     47 
     48 <section class="usage">
     49 
     50 ## Usage
     51 
     52 ```javascript
     53 var mgf = require( '@stdlib/stats/base/dists/beta/mgf' );
     54 ```
     55 
     56 #### mgf( t, alpha, beta )
     57 
     58 Evaluates the [moment-generating function][mgf] (MGF) for a [beta][beta-distribution] distribution with parameters `alpha` (first shape parameter) and `beta` (second shape parameter).
     59 
     60 ```javascript
     61 var y = mgf( 0.5, 1.0, 1.0 );
     62 // returns ~1.297
     63 
     64 y = mgf( 0.5, 2.0, 4.0 );
     65 // returns ~1.186
     66 
     67 y = mgf( 3.0, 2.0, 2.0 );
     68 // returns ~5.575
     69 
     70 y = mgf( -0.8, 4.0, 4.0 );
     71 // returns ~0.676
     72 ```
     73 
     74 If provided `NaN` as any argument, the function returns `NaN`.
     75 
     76 ```javascript
     77 var y = mgf( NaN, 1.0, 1.0 );
     78 // returns NaN
     79 
     80 y = mgf( 0.0, NaN, 1.0 );
     81 // returns NaN
     82 
     83 y = mgf( 0.0, 1.0, NaN );
     84 // returns NaN
     85 ```
     86 
     87 If provided `alpha <= 0`, the function returns `NaN`.
     88 
     89 ```javascript
     90 var y = mgf( 2.0, -1.0, 0.5 );
     91 // returns NaN
     92 
     93 y = mgf( 2.0, 0.0, 0.5 );
     94 // returns NaN
     95 ```
     96 
     97 If provided `beta <= 0`, the function returns `NaN`.
     98 
     99 ```javascript
    100 var y = mgf( 2.0, 0.5, -1.0 );
    101 // returns NaN
    102 
    103 y = mgf( 2.0, 0.5, 0.0 );
    104 // returns NaN
    105 ```
    106 
    107 #### mgf.factory( alpha, beta )
    108 
    109 Returns a function for evaluating the [moment-generating function][mgf] for a [beta][beta-distribution] distribution with parameters `alpha` (first shape parameter) and `beta` (second shape parameter).
    110 
    111 ```javascript
    112 var mymgf = mgf.factory( 0.5, 0.5 );
    113 
    114 var y = mymgf( 0.8 );
    115 // returns ~1.552
    116 
    117 y = mymgf( 0.3 );
    118 // returns ~1.168
    119 ```
    120 
    121 </section>
    122 
    123 <!-- /.usage -->
    124 
    125 <!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
    126 
    127 <section class="notes">
    128 
    129 </section>
    130 
    131 <!-- /.notes -->
    132 
    133 <!-- Package usage examples. -->
    134 
    135 <section class="examples">
    136 
    137 ## Examples
    138 
    139 <!-- eslint no-undef: "error" -->
    140 
    141 ```javascript
    142 var randu = require( '@stdlib/random/base/randu' );
    143 var EPS = require( '@stdlib/constants/float64/eps' );
    144 var mgf = require( '@stdlib/stats/base/dists/beta/mgf' );
    145 
    146 var alpha;
    147 var beta;
    148 var t;
    149 var v;
    150 var i;
    151 
    152 for ( i = 0; i < 10; i++ ) {
    153     t = randu() * 20.0;
    154     alpha = ( randu()*5.0 ) + EPS;
    155     beta = ( randu()*5.0 ) + EPS;
    156     v = mgf( t, alpha, beta );
    157     console.log( 't: %d, α: %d, β: %d, M_X(t;α,β): %d', t.toFixed( 4 ), alpha.toFixed( 4 ), beta.toFixed( 4 ), v.toFixed( 4 ) );
    158 }
    159 ```
    160 
    161 </section>
    162 
    163 <!-- /.examples -->
    164 
    165 <!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
    166 
    167 <section class="references">
    168 
    169 </section>
    170 
    171 <!-- /.references -->
    172 
    173 <!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
    174 
    175 <section class="links">
    176 
    177 [beta-distribution]: https://en.wikipedia.org/wiki/Beta_distribution
    178 
    179 [mgf]: https://en.wikipedia.org/wiki/Moment-generating_function
    180 
    181 </section>
    182 
    183 <!-- /.links -->