phpOMS/tests/Math/Stochastic/Distribution/BinomialDistributionTest.php

115 lines
2.6 KiB
PHP

<?php
/**
* Orange Management
*
* PHP Version 7.4
*
* @package tests
* @copyright Dennis Eichhorn
* @license OMS License 1.0
* @version 1.0.0
* @link https://orange-management.org
*/
declare(strict_types=1);
namespace phpOMS\tests\Math\Stochastic\Distribution;
use phpOMS\Math\Stochastic\Distribution\BinomialDistribution;
/**
* @internal
*/
class BinomialDistributionTest extends \PHPUnit\Framework\TestCase
{
public function testPmf() : void
{
$p = 0.4;
$n = 20;
$k = 7;
self::assertEqualsWithDelta(0.1659, BinomialDistribution::getPmf($n, $k, $p), 0.01);
}
public function testCdf() : void
{
$p = 0.4;
$n = 20;
$k = 7;
self::assertEqualsWithDelta(0.25, BinomialDistribution::getCdf($n, $k, $p), 0.01);
}
public function testMean() : void
{
$n = 20;
$p = 0.4;
self::assertEqualsWithDelta($n * $p, BinomialDistribution::getMean($n, $p), 0.01);
}
public function testMedian() : void
{
$n = 20;
$p = 0.4;
self::assertEqualsWithDelta(\floor($n * $p), BinomialDistribution::getMedian($n, $p), 0.01);
}
public function testMode() : void
{
$n = 20;
$p = 0.4;
self::assertEqualsWithDelta(\floor(($n + 1) * $p), BinomialDistribution::getMode($n, $p), 0.01);
}
public function testVariance() : void
{
$n = 20;
$p = 0.4;
self::assertEqualsWithDelta($n * $p * (1 - $p), BinomialDistribution::getVariance($n, $p), 0.01);
}
public function testStandardDeviation() : void
{
$n = 20;
$p = 0.4;
self::assertEqualsWithDelta(\sqrt($n * $p * (1 - $p)), BinomialDistribution::getStandardDeviation($n, $p), 0.01);
}
public function testSkewness() : void
{
$n = 20;
$p = 0.4;
self::assertEqualsWithDelta((1 - 2 * $p) / \sqrt($n * $p * (1 - $p)), BinomialDistribution::getSkewness($n, $p), 0.01);
}
public function testExKurtosis() : void
{
$n = 20;
$p = 0.4;
self::assertEqualsWithDelta((1 - 6 * $p * (1 - $p)) / ($n * $p * (1 - $p)), BinomialDistribution::getExKurtosis($n, $p), 0.01);
}
public function testMgf() : void
{
$n = 20;
$p = 0.4;
$t = 3;
self::assertEqualsWithDelta((1 - $p + $p * \exp($t)) ** $n, BinomialDistribution::getMgf($n, $t, $p), 0.01);
}
public function testFisherInformation() : void
{
$n = 20;
$p = 0.4;
self::assertEqualsWithDelta($n / ($p * (1 - $p)), BinomialDistribution::getFisherInformation($n, $p), 0.01);
}
}