gov.sandia.cognition.statistics.distribution
Class WeibullDistribution.CDF

java.lang.Object
  extended by gov.sandia.cognition.util.AbstractCloneableSerializable
      extended by gov.sandia.cognition.statistics.AbstractDistribution<NumberType>
          extended by gov.sandia.cognition.statistics.AbstractClosedFormUnivariateDistribution<Double>
              extended by gov.sandia.cognition.statistics.AbstractClosedFormSmoothUnivariateDistribution
                  extended by gov.sandia.cognition.statistics.distribution.WeibullDistribution
                      extended by gov.sandia.cognition.statistics.distribution.WeibullDistribution.CDF
All Implemented Interfaces:
Evaluator<Double,Double>, ClosedFormDifferentiableEvaluator<Double,Double,Double>, DifferentiableEvaluator<Double,Double,Double>, Vectorizable, ScalarFunction<Double>, UnivariateScalarFunction, ClosedFormComputableDistribution<Double>, ClosedFormCumulativeDistributionFunction<Double>, ClosedFormDistribution<Double>, ClosedFormUnivariateDistribution<Double>, ComputableDistribution<Double>, CumulativeDistributionFunction<Double>, Distribution<Double>, DistributionWithMean<Double>, SmoothCumulativeDistributionFunction, SmoothUnivariateDistribution, UnivariateDistribution<Double>, CloneableSerializable, Serializable, Cloneable
Enclosing class:
WeibullDistribution

public static class WeibullDistribution.CDF
extends WeibullDistribution
implements SmoothCumulativeDistributionFunction

CDF of the Weibull distribution

See Also:
Serialized Form

Nested Class Summary
 
Nested classes/interfaces inherited from class gov.sandia.cognition.statistics.distribution.WeibullDistribution
WeibullDistribution.CDF, WeibullDistribution.PDF
 
Field Summary
 
Fields inherited from class gov.sandia.cognition.statistics.distribution.WeibullDistribution
DEFAULT_SCALE, DEFAULT_SHAPE, scale, shape
 
Constructor Summary
WeibullDistribution.CDF()
          Creates a new instance of WeibullDistribution
WeibullDistribution.CDF(double shape, double scale)
          Creates a new instance of WeibullDistribution
WeibullDistribution.CDF(WeibullDistribution other)
          Copy constructor
 
Method Summary
 Double differentiate(Double input)
          Differentiates the output with respect to the input
 double evaluate(double input)
          Produces a double output for the given double input
 Double evaluate(Double input)
          Evaluates the function on the given input and returns the output.
 double evaluateAsDouble(Double input)
          Evaluates the scalar function as a double.
 WeibullDistribution.CDF getCDF()
          Gets the CDF of a scalar distribution.
 WeibullDistribution.PDF getDerivative()
          Gets the closed-form derivative of the function.
 
Methods inherited from class gov.sandia.cognition.statistics.distribution.WeibullDistribution
clone, convertFromVector, convertToVector, getMaxSupport, getMean, getMinSupport, getProbabilityFunction, getScale, getShape, getVariance, sample, setScale, setShape
 
Methods inherited from class gov.sandia.cognition.statistics.AbstractDistribution
sample
 
Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 
Methods inherited from interface gov.sandia.cognition.statistics.SmoothUnivariateDistribution
getMean, getProbabilityFunction
 
Methods inherited from interface gov.sandia.cognition.statistics.UnivariateDistribution
getMaxSupport, getMinSupport, getVariance
 
Methods inherited from interface gov.sandia.cognition.statistics.Distribution
sample, sample
 
Methods inherited from interface gov.sandia.cognition.math.matrix.Vectorizable
clone, convertFromVector, convertToVector
 

Constructor Detail

WeibullDistribution.CDF

public WeibullDistribution.CDF()
Creates a new instance of WeibullDistribution


WeibullDistribution.CDF

public WeibullDistribution.CDF(double shape,
                               double scale)
Creates a new instance of WeibullDistribution

Parameters:
shape - Shape parameter, must be greater than 0.0
scale - Scale parameter, must be greater than 0.0

WeibullDistribution.CDF

public WeibullDistribution.CDF(WeibullDistribution other)
Copy constructor

Parameters:
other - WeibullDistribution to copy
Method Detail

getDerivative

public WeibullDistribution.PDF getDerivative()
Description copied from interface: ClosedFormDifferentiableEvaluator
Gets the closed-form derivative of the function.

Specified by:
getDerivative in interface ClosedFormDifferentiableEvaluator<Double,Double,Double>
Specified by:
getDerivative in interface SmoothCumulativeDistributionFunction
Returns:
Closed-form derivative of the function.

evaluate

public Double evaluate(Double input)
Description copied from interface: Evaluator
Evaluates the function on the given input and returns the output.

Specified by:
evaluate in interface Evaluator<Double,Double>
Parameters:
input - The input to evaluate.
Returns:
The output produced by evaluating the input.

evaluateAsDouble

public double evaluateAsDouble(Double input)
Description copied from interface: ScalarFunction
Evaluates the scalar function as a double.

Specified by:
evaluateAsDouble in interface ScalarFunction<Double>
Parameters:
input - The input value.
Returns:
The scalar output calculated from the given input.

evaluate

public double evaluate(double input)
Description copied from interface: UnivariateScalarFunction
Produces a double output for the given double input

Specified by:
evaluate in interface UnivariateScalarFunction
Parameters:
input - Input to the Evaluator
Returns:
output at the given input

differentiate

public Double differentiate(Double input)
Description copied from interface: DifferentiableEvaluator
Differentiates the output with respect to the input

Specified by:
differentiate in interface DifferentiableEvaluator<Double,Double,Double>
Parameters:
input - Input about which to compute the derivative
Returns:
Derivative of the output with respect to the given input

getCDF

public WeibullDistribution.CDF getCDF()
Description copied from interface: UnivariateDistribution
Gets the CDF of a scalar distribution.

Specified by:
getCDF in interface ClosedFormUnivariateDistribution<Double>
Specified by:
getCDF in interface SmoothUnivariateDistribution
Specified by:
getCDF in interface UnivariateDistribution<Double>
Overrides:
getCDF in class WeibullDistribution
Returns:
CDF of the scalar distribution.