Java org.apache.commons.math3.distribution NormalDistribution fields, constructors, methods, implement or subclass

Example usage for Java org.apache.commons.math3.distribution NormalDistribution fields, constructors, methods, implement or subclass

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In this page you can find the methods, fields and constructors for org.apache.commons.math3.distribution NormalDistribution.

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org.apache.commons.math3.distribution.NormalDistribution has subclasses.
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double	DEFAULT_INVERSE_ABSOLUTE_ACCURACY Default inverse cumulative probability accuracy.

	NormalDistribution(double mean, double sd) Create a normal distribution using the given mean and standard deviation.
	NormalDistribution(double mean, double sd, double inverseCumAccuracy) Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.
	NormalDistribution(RandomGenerator rng, double mean, double sd, double inverseCumAccuracy) Creates a normal distribution.
	NormalDistribution() Create a normal distribution with mean equal to zero and standard deviation equal to one.

double	cumulativeProbability(double x) If x is more than 40 standard deviations from the mean, 0 or 1 is returned, as in these cases the actual value is within Double.MIN_VALUE of 0 or 1.
double	density(double x)
double	getMean() Access the mean.
double	getNumericalMean() For mean parameter mu , the mean is mu .
double	getStandardDeviation() Access the standard deviation.
double	inverseCumulativeProbability(final double p) The default implementation returns #getSupportLowerBound() for p = 0 , #getSupportUpperBound() for p = 1 .
double	probability(double x0, double x1)
double	probability(double x)
void	reseedRandomGenerator(long seed)
double	sample()
double[]	sample(int sampleSize) The default implementation generates the sample by calling #sample() in a loop.