phpOMS/Math/Stochastic/Distribution/GammaDistribution.php

304 lines
6.7 KiB
PHP

<?php
/**
* Orange Management
*
* PHP Version 8.0
*
* @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;
use phpOMS\Math\Functions\Gamma;
/**
* Gamma distribution.
*
* @package phpOMS\Math\Stochastic\Distribution
* @license OMS License 1.0
* @link https://orange-management.org
* @since 1.0.0
*/
final class GammaDistribution
{
/**
* Get probability density function for shape and scale.
*
* @param float $x Value x
* @param float $k k shape
* @param float $theta Theta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getPdfScale(float $x, float $k, float $theta) : float
{
return 1 / (Gamma::gamma($k) * $theta ** $k) * \pow($x, $k - 1) * \exp(-$x / $theta);
}
/**
* Get probability density function for shape and rate.
*
* @param float $x Value x
* @param float $alpha Alpha shape
* @param float $beta Beta rate
*
* @return float
*
* @since 1.0.0
*/
public static function getPdfRate(float $x, float $alpha, float $beta) : float
{
return $beta ** $alpha / Gamma::gamma($alpha) * \pow($x, $alpha - 1) * \exp(-$beta * $x);
}
/**
* Get probability density function for shape and scale.
*
* @param float $x Value x
* @param int $k k shape
* @param float $theta Theta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getPdfIntegerScale(float $x, int $k, float $theta) : float
{
return 1 / (Gamma::getGammaInteger($k) * $theta ** $k) * \pow($x, $k - 1) * \exp(-$x / $theta);
}
/**
* Get probability density function for shape and rate.
*
* @param float $x Value x
* @param int $alpha Alpha shape
* @param float $beta Beta rate
*
* @return float
*
* @since 1.0.0
*/
public static function getPdfIntegerRate(float $x, int $alpha, float $beta) : float
{
return $beta ** $alpha / Gamma::getGammaInteger($alpha) * \pow($x, $alpha - 1) * \exp(-$beta * $x);
}
/**
* Get cumulative density function for shape and scale.
*
* @param float $x Value x
* @param float $k k shape
* @param float $theta Theta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getCdfScale(float $x, float $k, float $theta) : float
{
return 1 / Gamma::gamma($k) * Gamma::incompleteGammaFirst($k, $x / $theta);
}
/**
* Get cumulative density function for shape and rate.
*
* @param float $x Value x
* @param float $alpha Alpha shape
* @param float $beta Beta rate
*
* @return float
*
* @since 1.0.0
*/
public static function getCdfRate(float $x, float $alpha, float $beta) : float
{
return 1 / Gamma::gamma($alpha) * Gamma::incompleteGammaFirst($alpha, $beta * $x);
}
/**
* Get expected value.
*
* @param float $k k shape
* @param float $theta Theta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getMeanScale(float $k, float $theta) : float
{
return $k * $theta;
}
/**
* Get expected value.
*
* @param float $alpha Alpha shape
* @param float $beta Beta rate
*
* @return float
*
* @since 1.0.0
*/
public static function getMeanRate(float $alpha, float $beta) : float
{
return $alpha / $beta;
}
/**
* Get mode.
*
* @param float $k k shape
* @param float $theta Theta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getModeScale(float $k, float $theta) : float
{
return ($k - 1) * $theta;
}
/**
* Get mode.
*
* @param float $alpha Alpha shape
* @param float $beta Beta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getModeRate(float $alpha, float $beta) : float
{
return ($alpha - 1) / $beta;
}
/**
* Get skewness.
*
* @param float $k Shape k or alpha
*
* @return float
*
* @since 1.0.0
*/
public static function getSkewness(float $k) : float
{
return 2 / \sqrt($k);
}
/**
* Get Ex. kurtosis.
*
* @param float $k Shape k or alpha
*
* @return float
*
* @since 1.0.0
*/
public static function getExKurtosis(float $k) : float
{
return 6 / $k;
}
/**
* Get variance.
*
* @param float $k k shape
* @param float $theta Theta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getVarianceScale(float $k, float $theta) : float
{
return $k * $theta ** 2;
}
/**
* Get standard deviation.
*
* @param float $k k shape
* @param float $theta Theta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getStandardDeviationScale(float $k, float $theta) : float
{
return \sqrt(self::getVarianceScale($k, $theta));
}
/**
* Get variance.
*
* @param float $alpha Alpha shape
* @param float $beta Beta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getVarianceRate(float $alpha, float $beta) : float
{
return $alpha / ($beta ** 2);
}
/**
* Get standard deviation.
*
* @param float $alpha Alpha shape
* @param float $beta Beta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getStandardDeviationRate(float $alpha, float $beta) : float
{
return \sqrt(self::getVarianceRate($alpha, $beta));
}
/**
* Get moment generating function.
*
* @param float $k k shape
* @param float $t Value t
* @param float $theta Theta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getMgfScale(float $k, float $t, float $theta) : float
{
return \pow(1 - $theta * $t, -$k);
}
/**
* Get moment generating function.
*
* @param float $t Value t
* @param float $alpha Alpha shape
* @param float $beta Beta scale
*
* @return float
*
* @since 1.0.0
*/
public static function getMgfRate(float $t, float $alpha, float $beta) : float
{
return \pow(1 - $t / $beta, -$alpha);
}
}