gov.sandia.cognition.statistics.distribution
Class DeterministicDistribution.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.distribution.DeterministicDistribution
                  extended by gov.sandia.cognition.statistics.distribution.DeterministicDistribution.CDF
All Implemented Interfaces:
Evaluator<Double,Double>, Vectorizable, ScalarFunction<Double>, UnivariateScalarFunction, ClosedFormComputableDistribution<Double>, ClosedFormCumulativeDistributionFunction<Double>, ClosedFormDiscreteUnivariateDistribution<Double>, ClosedFormDistribution<Double>, ClosedFormUnivariateDistribution<Double>, ComputableDistribution<Double>, CumulativeDistributionFunction<Double>, DiscreteDistribution<Double>, Distribution<Double>, DistributionWithMean<Double>, UnivariateDistribution<Double>, CloneableSerializable, Serializable, Cloneable
Enclosing class:
DeterministicDistribution

public static class DeterministicDistribution.CDF
extends DeterministicDistribution
implements ClosedFormCumulativeDistributionFunction<Double>, UnivariateScalarFunction

CDF of the deterministic distribution.

See Also:
Serialized Form

Nested Class Summary
 
Nested classes/interfaces inherited from class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
DeterministicDistribution.CDF, DeterministicDistribution.PMF
 
Field Summary
 
Fields inherited from class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
DEFAULT_POINT
 
Constructor Summary
DeterministicDistribution.CDF()
          Creates a new instance of DeterministicDistribution
DeterministicDistribution.CDF(DeterministicDistribution other)
          Copy Constructor
DeterministicDistribution.CDF(double point)
          Creates a new instance of DeterministicDistribution
 
Method Summary
 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.
 DeterministicDistribution.CDF getCDF()
          Gets the CDF of a scalar distribution.
 
Methods inherited from class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
convertFromVector, convertToVector, getDomain, getDomainSize, getMaxSupport, getMean, getMinSupport, getPoint, getProbabilityFunction, getVariance, sample, setPoint
 
Methods inherited from class gov.sandia.cognition.statistics.AbstractClosedFormUnivariateDistribution
clone
 
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.math.matrix.Vectorizable
clone, convertFromVector, convertToVector
 
Methods inherited from interface gov.sandia.cognition.statistics.UnivariateDistribution
getMaxSupport, getMinSupport, getVariance
 
Methods inherited from interface gov.sandia.cognition.statistics.DistributionWithMean
getMean
 
Methods inherited from interface gov.sandia.cognition.statistics.Distribution
sample, sample
 

Constructor Detail

DeterministicDistribution.CDF

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


DeterministicDistribution.CDF

public DeterministicDistribution.CDF(double point)
Creates a new instance of DeterministicDistribution

Parameters:
point - Location of the distribution

DeterministicDistribution.CDF

public DeterministicDistribution.CDF(DeterministicDistribution other)
Copy Constructor

Parameters:
other - DeterministicDistribution to copy
Method Detail

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

getCDF

public DeterministicDistribution.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 UnivariateDistribution<Double>
Overrides:
getCDF in class DeterministicDistribution
Returns:
CDF of the scalar distribution.