| java.lang.Object org.apache.commons.math.distribution.AbstractDistribution org.apache.commons.math.distribution.AbstractContinuousDistribution org.apache.commons.math.distribution.WeibullDistributionImpl
Constructor Summary | |
public | WeibullDistributionImpl(double alpha, double beta) Creates weibull distribution with the given shape and scale and a
location equal to zero. |
Method Summary | |
public double | cumulativeProbability(double x) For this disbution, X, this method returns P(X < x ).
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 | getScale() Access the scale parameter. | public double | getShape() Access the shape parameter. | public double | inverseCumulativeProbability(double p) For this distribution, X, this method returns the critical point x, such
that P(X < x) = p . | public void | setScale(double beta) Modify the scale parameter. | public void | setShape(double alpha) Modify the shape parameter. |
WeibullDistributionImpl | public WeibullDistributionImpl(double alpha, double beta)(Code) | | Creates weibull distribution with the given shape and scale and a
location equal to zero.
Parameters: alpha - the shape parameter. Parameters: beta - the scale parameter. |
cumulativeProbability | public double cumulativeProbability(double x)(Code) | | For this disbution, X, this method returns P(X < x ).
Parameters: x - the value at which the CDF is evaluated. CDF evaluted at x . |
getDomainLowerBound | protected double getDomainLowerBound(double p)(Code) | | Access the domain value lower bound, based on p , used to
bracket a CDF root. This method is used by
WeibullDistributionImpl.inverseCumulativeProbability(double) to find critical values.
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. This method is used by
WeibullDistributionImpl.inverseCumulativeProbability(double) to find critical values.
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. This method is used by
WeibullDistributionImpl.inverseCumulativeProbability(double) to find critical values.
Parameters: p - the desired probability for the critical value initial domain value |
getScale | public double getScale()(Code) | | Access the scale parameter.
the scale parameter. |
getShape | public double getShape()(Code) | | Access the shape parameter.
the shape parameter. |
inverseCumulativeProbability | public double inverseCumulativeProbability(double p)(Code) | | For this distribution, X, this method returns the critical point x, such
that P(X < x) = p .
Returns Double.NEGATIVE_INFINITY for p=0 and
Double.POSITIVE_INFINITY for p=1.
Parameters: p - the desired probability x, such that P(X < x) = p throws: IllegalArgumentException - if p is not a validprobability. |
setScale | public void setScale(double beta)(Code) | | Modify the scale parameter.
Parameters: beta - the new scale parameter value. |
setShape | public void setShape(double alpha)(Code) | | Modify the shape parameter.
Parameters: alpha - the new shape parameter value. |
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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