本文整理汇总了PHP中Statistics::erfInv方法的典型用法代码示例。如果您正苦于以下问题：PHP Statistics::erfInv方法的具体用法？PHP Statistics::erfInv怎么用？PHP Statistics::erfInv使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Statistics的用法示例。
在下文中一共展示了Statistics::erfInv方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的PHP代码示例。
示例1: inverseCumulativeProbability
/**
* The inverse cumulative probablility of a normal (gaussian) distribution.
*/
public static function inverseCumulativeProbability($p, $mean = 0, $sd = 1)
{
if ($p < 0.0 || $p > 1.0) {
throw new Exception("Statistics::inverseCumulativeProbability: " . $p . " out of range: 0.0 to 1.0");
}
return $mean + $sd * sqrt(2.0) * Statistics::erfInv(2 * $p - 1);
}示例2: notify
notify('Build Sequence Inf/NaN', 0, count(RTGM_Util::buildSequence(INF, NAN, 1, true)));
$a2 = array(1, 2, 3);
notify('Exp', array(2.718281828459, 7.3890560989307, 20.085536923188), RTGM_Util::exp($a2));
notify('Find Log Log X', $uhgm, RTGM_Util::findLogLogX($xs, $ys, $afe4uhgm));
notify('Find Log Log Y', $afe4uhgm, RTGM_Util::findLogLogY($xs, $ys, $uhgm));
notify('Log Normal Cumulative Prob', 0.012893887361471, RTGM_Util::logNormalCumProb(1.3, 1.6, 0.6));
notify('Log Normal Cumulative Prob (0)', 0.0, RTGM_Util::logNormalCumProb(0.0, 1.6, 0.6));
notify('Log Normal Density', 0.042613954514149, RTGM_Util::logNormalDensity(1.3, 1.6, 0.6));
notify('Log Normal Density (0)', 0.0, RTGM_Util::logNormalDensity(0.0, 1.6, 0.6));
$a3 = array(1, 2, 3);
notify('Multiply', array(3, 8, 15), RTGM_Util::multiply($a3, array(3, 4, 5)));
$a4 = array(10, 20, 30);
notify('Scale', array(1, 2, 3), RTGM_Util::scale($a4, 0.1));
notify('Trapz', $riskTmp, RTGM_Util::trapz($xs, $ys));
// Statistics method tests
notify('ErfInv', 0.47693627620447, Statistics::erfInv(0.5));
notify('InverseCumulativeProbabilty', 0.67448975019608, Statistics::inverseCumulativeProbability(0.75));
notify('InverseCumulativeProbabilty (3 args)', 2.0046938501176, Statistics::inverseCumulativeProbability(0.75, 1.6, 0.6));
try {
Statistics::inverseCumulativeProbability(2.5);
notify('InverseCumulativeProbabilty out of range', "Exception thrown", "Ok");
} catch (Exception $ex1) {
notify('InverseCumulativeProbabilty out of range', $ex1, $ex1);
}
notify('InvGamma1pm1', 0.12837916709551, Statistics::invGamma1pm1(0.5));
try {
Statistics::invGamma1pm1(-2.5);
notify('InvGamma1pm1 too small', "Exception thrown", "Ok");
} catch (Exception $ex1) {
notify('InvGamma1pm1 too small', $ex1, $ex1);
}