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

java.lang.Object
  gov.sandia.cognition.util.AbstractCloneableSerializable
      gov.sandia.cognition.statistics.AbstractDistribution<NumberType>
          gov.sandia.cognition.statistics.AbstractClosedFormUnivariateDistribution<Double>
              gov.sandia.cognition.statistics.distribution.DeterministicDistribution
                  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.