51 lines
1.2 KiB
Java
51 lines
1.2 KiB
Java
package statistics;
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public class GaussianWrapper {
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/**
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* Returns standard Gaussian cdf approximation based on algortihm for error function.
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*
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* @param value Value
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* @return Probability
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*/
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public static double cdfErrorAlgo(double value) {
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return CDF_Normal.normp(value);
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}
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/**
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* Returns Gaussian cdf approximation based on algorithm for error function.
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*
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* @param value Value
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* @param mean Mean value
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* @param stdDev Standard deviance
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* @return Probability
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*/
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public static double cdfErrorAlgo(double value, double mean, double stdDev) {
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return CDF_Normal.normp((value - mean) / stdDev);
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}
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/**
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* Returns standard Gaussian cdf using Taylor approximation.
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*
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* @param value Value
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* @return Probability
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*/
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public static double cdfTaylor(double value) {
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return Gaussian.Phi(value);
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}
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/**
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* Returns Gaussian cdf using Taylor approximation .
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*
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* @param value Value
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* @param mean Mean value
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* @param stdDev Standard deviance
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* @return Probability
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*/
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public static double cdfTaylor(double value, double mean, double stdDev) {
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return Gaussian.Phi(value, mean, stdDev);
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}
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}
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