public static class ChiSquareDistribution.CDF extends ChiSquareDistribution implements SmoothCumulativeDistributionFunction
ChiSquareDistribution.CDF, ChiSquareDistribution.PDF
DEFAULT_DEGREES_OF_FREEDOM
Constructor and Description |
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CDF()
Default constructor.
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CDF(ChiSquareDistribution other)
Copy constructor
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CDF(double degreesOfFreedom)
Creates a new instance of ChiSquareDistribution
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Modifier and Type | Method and Description |
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java.lang.Double |
differentiate(java.lang.Double input)
Differentiates the output with respect to the input
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double |
evaluate(double input)
Produces a double output for the given double input
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java.lang.Double |
evaluate(java.lang.Double input)
Evaluates the function on the given input and returns the output.
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static double |
evaluate(double input,
double degreesOfFreedom)
Computes the values of the Chi-Square CDF for the given input and
degrees of freedom
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double |
evaluateAsDouble(java.lang.Double input)
Evaluates the scalar function as a double.
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ChiSquareDistribution.CDF |
getCDF()
Gets the CDF of a scalar distribution.
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ChiSquareDistribution.PDF |
getDerivative()
Gets the closed-form derivative of the function.
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clone, convertFromVector, convertToVector, getDegreesOfFreedom, getMaxSupport, getMeanAsDouble, getMinSupport, getProbabilityFunction, getVariance, sample, sampleAsDoubles, sampleInto, setDegreesOfFreedom
getMean, sampleAsDouble, sampleAsDoubles, sampleInto
sample, sample
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
getMean, getProbabilityFunction, sampleAsDouble, sampleAsDoubles, sampleInto
getMaxSupport, getMeanAsDouble, getMinSupport, getVariance
sample, sample, sampleInto
clone, convertFromVector, convertToVector
public CDF()
public CDF(double degreesOfFreedom)
degreesOfFreedom
- Number of degrees of freedom in the distribution,
must be greater than 0.0public CDF(ChiSquareDistribution other)
other
- ChiSquareDistribution to copypublic double evaluate(double input)
UnivariateScalarFunction
evaluate
in interface UnivariateScalarFunction
input
- Input to the Evaluatorpublic java.lang.Double evaluate(java.lang.Double input)
Evaluator
evaluate
in interface Evaluator<java.lang.Double,java.lang.Double>
evaluate
in interface ScalarFunction<java.lang.Double>
evaluate
in interface UnivariateScalarFunction
input
- The input to evaluate.public double evaluateAsDouble(java.lang.Double input)
ScalarFunction
evaluateAsDouble
in interface ScalarFunction<java.lang.Double>
evaluateAsDouble
in interface UnivariateScalarFunction
input
- The input value.public static double evaluate(double input, double degreesOfFreedom)
input
- Input about which to evaluate the CDFdegreesOfFreedom
- Number of degrees of freedom in the distributionpublic ChiSquareDistribution.CDF getCDF()
UnivariateDistribution
getCDF
in interface ClosedFormUnivariateDistribution<java.lang.Double>
getCDF
in interface SmoothUnivariateDistribution
getCDF
in interface UnivariateDistribution<java.lang.Double>
getCDF
in class ChiSquareDistribution
public ChiSquareDistribution.PDF getDerivative()
ClosedFormDifferentiableEvaluator
getDerivative
in interface ClosedFormDifferentiableEvaluator<java.lang.Double,java.lang.Double,java.lang.Double>
getDerivative
in interface SmoothCumulativeDistributionFunction
public java.lang.Double differentiate(java.lang.Double input)
DifferentiableEvaluator
differentiate
in interface DifferentiableEvaluator<java.lang.Double,java.lang.Double,java.lang.Double>
input
- Input about which to compute the derivative