| java.lang.Object
 org.apache.commons.math.distribution.AbstractDistribution
org.apache.commons.math.distribution.AbstractContinuousDistribution
org.apache.commons.math.distribution.ExponentialDistributionImpl
| Method Summary | |
| public double | cumulativeProbability(double x)
For this disbution, X, this method returns P(X < x).
The implementation of this method is based on:
Parameters:
x - the value at which the CDF is evaluated. | | protected double | getDomainLowerBound(double p)
Access the domain value lower bound, based on p, used to
bracket a CDF root. | | protected double | getDomainUpperBound(double p)
Access the domain value upper bound, based on p, used to
bracket a CDF root. | | protected double | getInitialDomain(double p)
Access the initial domain value, based on p, used to
bracket a CDF root. | | public double | getMean()
Access the mean. | | public double | inverseCumulativeProbability(double p)
For this distribution, X, this method returns the critical point x, such
that P(X < x) = p. | | public void | setMean(double mean)
Modify the mean. |
| ExponentialDistributionImpl | | public ExponentialDistributionImpl(double mean)(Code) | | Create a exponential distribution with the given mean.
Parameters:
mean - mean of this distribution. |
| cumulativeProbability | | public double cumulativeProbability(double x) throws MathException(Code) | | For this disbution, X, this method returns P(X < x).
The implementation of this method is based on:
Parameters:
x - the value at which the CDF is evaluated. CDF for this distribution.
throws:
MathException - if the cumulative probability can not becomputed due to convergence or other numerical errors. |
| getDomainLowerBound | | protected double getDomainLowerBound(double p)(Code) | | Access the domain value lower bound, based on p, used to
bracket a CDF root.
Parameters:
p - the desired probability for the critical value domain value lower bound, i.e.P(X < lower bound) < p |
| getDomainUpperBound | | protected double getDomainUpperBound(double p)(Code) | | Access the domain value upper bound, based on p, used to
bracket a CDF root.
Parameters:
p - the desired probability for the critical value domain value upper bound, i.e.P(X < upper bound) > p |
| getInitialDomain | | protected double getInitialDomain(double p)(Code) | | Access the initial domain value, based on p, used to
bracket a CDF root.
Parameters:
p - the desired probability for the critical value initial domain value |
| getMean | | public double getMean()(Code) | | Access the mean.
the mean. |
| inverseCumulativeProbability | | public double inverseCumulativeProbability(double p) throws MathException(Code) | | For this distribution, X, this method returns the critical point x, such
that P(X < x) = p.
Returns 0 for p=0 and Double.POSITIVE_INFINITY for p=1.
Parameters:
p - the desired probability x, such that P(X < x) = p
throws:
MathException - if the inverse cumulative probability can not becomputed due to convergence or other numerical errors.
throws:
IllegalArgumentException - if p < 0 or p > 1. |
| setMean | | public void setMean(double mean)(Code) | | Modify the mean.
Parameters:
mean - the new mean.
throws:
IllegalArgumentException - if mean is not positive. |
| Methods inherited from org.apache.commons.math.distribution.AbstractContinuousDistribution | abstract protected double getDomainLowerBound(double p)(Code)(Java Doc)
abstract protected double getDomainUpperBound(double p)(Code)(Java Doc)
abstract protected double getInitialDomain(double p)(Code)(Java Doc)
public double inverseCumulativeProbability(double p) throws MathException(Code)(Java Doc)
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| Methods inherited from org.apache.commons.math.distribution.AbstractDistribution | public double cumulativeProbability(double x0, double x1) throws MathException(Code)(Java Doc)
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