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

Example usage for Java org.apache.commons.math3.distribution LogNormalDistribution 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 LogNormalDistribution.

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double	DEFAULT_INVERSE_ABSOLUTE_ACCURACY Default inverse cumulative probability accuracy.

	LogNormalDistribution(double scale, double shape) Create a log-normal distribution using the specified scale and shape.
	LogNormalDistribution(double scale, double shape, double inverseCumAccuracy) Create a log-normal distribution using the specified scale, shape and inverse cumulative distribution accuracy.

double	cumulativeProbability(double x) For scale m , and shape s of this distribution, the CDF is given by 0 if x <= 0 , 0 if ln(x) - m < 0 and m - ln(x) > 40 * s , as in these cases the actual value is within Double.MIN_VALUE of 0, 1 if ln(x) - m >= 0 and ln(x) - m > 40 * s , as in these cases the actual value is within Double.MIN_VALUE of 1, 0.5 + 0.5 * erf((ln(x) - m) / (s * sqrt(2)) otherwise.
double	inverseCumulativeProbability(final double p) The default implementation returns #getSupportLowerBound() for p = 0 , #getSupportUpperBound() for p = 1 .
double	sample()
double[]	sample(int sampleSize) The default implementation generates the sample by calling #sample() in a loop.