phpOMS/Math/Stochastic/Distribution/NormalDistribution.php

214 lines
4.1 KiB
PHP

<?php
/**
* Orange Management
*
* PHP Version 7.4
*
* @package phpOMS\Math\Stochastic\Distribution
* @copyright Dennis Eichhorn
* @license OMS License 1.0
* @version 1.0.0
* @link https://orange-management.org
*/
declare(strict_types=1);
namespace phpOMS\Math\Stochastic\Distribution;
/**
* Normal distribution.
*
* @package phpOMS\Math\Stochastic\Distribution
* @license OMS License 1.0
* @link https://orange-management.org
* @since 1.0.0
*/
class NormalDistribution
{
/**
* Chi square table.
*
* @var array<int, array<string, float>>
* @since 1.0.0
*/
public const TABLE = [
'0.50' => 0.67, '0.55' => 0.76, '0.60' => 0.84, '0.65' => 0.93, '0.70' => 1.04, '0.75' => 1.15, '0.80' => 1.28,
'0.85' => 1.44, '0.90' => 1.64, '0.95' => 1.96, '0.96' => 2.05, '0.97' => 2.17, '0.98' => 2.33, '0.99' => 2.58,
];
/**
* Get probability density function.
*
* @param float $x Value x
* @param float $mu Value mu
* @param float $sig Sigma
*
* @return float
*
* @since 1.0.0
*/
public static function getPdf(float $x, float $mu, float $sig) : float
{
return 1 / ($sig * \sqrt(2 * \M_PI)) * \exp(-($x - $mu) ** 2 / (2 * $sig ** 2));
}
/**
* Get probability density function.
*
* @param float $x Value x
* @param float $mu Value mu
* @param float $sig Sigma
*
* @return float
*
* @since 1.0.0
*/
public static function getCdf(float $x, float $mu, float $sig) : float
{
return 1 / 2 * (1 + self::erf(($x - $mu) / ($sig * \sqrt(2))));
}
/**
* Error function approximation
*
* @param float $x Value x
*
* @return float
*
* @since 1.0.0
*/
private static function erf(float $x) : float
{
if ($x < 0) {
return -self::erf(-$x);
}
$a = 8 * (\M_PI - 3) / (3 * \M_PI * (4 - \M_PI));
return \sqrt(1 - \exp(-($x ** 2) * (4 / \M_PI + $a * $x ** 2) / (1 + $a * $x ** 2)));
}
/**
* Get mode.
*
* @param float $mu Value mu
*
* @return float
*
* @since 1.0.0
*/
public static function getMode(float $mu) : float
{
return $mu;
}
/**
* Get expected value.
*
* @param float $mu Value mu
*
* @return float
*
* @since 1.0.0
*/
public static function getMean(float $mu) : float
{
return $mu;
}
/**
* Get median.
*
* @param float $mu Value mu
*
* @return float
*
* @since 1.0.0
*/
public static function getMedian(float $mu) : float
{
return $mu;
}
/**
* Get variance.
*
* @param float $sig Sigma
*
* @return float
*
* @since 1.0.0
*/
public static function getVariance(float $sig) : float
{
return $sig ** 2;
}
/**
* Get standard deviation.
*
* @param float $sig Sigma
*
* @return float
*
* @since 1.0.0
*/
public static function getStandardDeviation(float $sig) : float
{
return $sig;
}
/**
* Get moment generating function.
*
* @param float $t Value t
* @param float $mu Value mu
* @param float $sig Sigma
*
* @return float
*
* @since 1.0.0
*/
public static function getMgf(float $t, float $mu, float $sig) : float
{
return \exp($mu * $t + ($sig ** 2 * $t ** 2) / 2);
}
/**
* Get skewness.
*
* @return float
*
* @since 1.0.0
*/
public static function getSkewness() : float
{
return 0;
}
/**
* Get Fisher information.
*
* @param float $sig Sigma
*
* @return array
*
* @since 1.0.0
*/
public static function getFisherInformation(float $sig) : array
{
return [[1 / $sig ** 2, 0], [0, 1 / (2 * $sig ** 4)]];
}
/**
* Get Ex. kurtosis.
*
* @return float
*
* @since 1.0.0
*/
public static function getExKurtosis() : float
{
return 0;
}
}