Collaboration diagram for Test.DiscreteDistributionTest:

Public Member Functions
void	DiscreteDistributionUnitarity ()

void	DiscreteDistributionMean ()

void	DiscreteDistributionVariance ()

void	DiscreteDistributionSkewness ()

void	DiscreteDistributionProbabilityAxioms ()

void	DiscreteDistributionInverseCDF ()

void	DiscreteContinuousAgreement ()

void	OutsideDiscreteDistributionSupport ()

void	PoissonBug ()

void	DiscreteDistributionRandomValues ()

void	DiscreteDistributionBase ()

Static Public Member Functions
static DiscreteDistribution[]	GetDistributions ()

Properties
TestContext	TestContext `[get, set]`
	Gets or sets the test context which provides information about and functionality for the current test run. /summary> More...

Private Attributes
TestContext	testContextInstance

DiscreteDistribution[]	distributions

Member Function Documentation

static DiscreteDistribution [] Test.DiscreteDistributionTest.GetDistributions ( )

inlinestatic

Referenced by Test.UnivariateDistributionTest.Initialize().

void Test.DiscreteDistributionTest.DiscreteDistributionUnitarity ( )

inline

References Meta.Numerics.Statistics.Distributions.DiscreteDistribution.ExpectationValue().

void Test.DiscreteDistributionTest.DiscreteDistributionMean ( )

inline

References Meta.Numerics.Statistics.Distributions.DiscreteDistribution.ExpectationValue(), and Meta.Numerics.Statistics.Distributions.DiscreteDistribution.Mean.

void Test.DiscreteDistributionTest.DiscreteDistributionVariance ( )

inline

References Meta.Numerics.Statistics.Distributions.DiscreteDistribution.ExpectationValue(), Meta.Numerics.Statistics.Distributions.DiscreteDistribution.Mean, and Meta.Numerics.Statistics.Distributions.UnivariateDistribution.Variance.

void Test.DiscreteDistributionTest.DiscreteDistributionSkewness ( )

inline

References Meta.Numerics.Statistics.Distributions.DiscreteDistribution.MomentAboutMean(), and Meta.Numerics.Statistics.Distributions.UnivariateDistribution.Skewness.

void Test.DiscreteDistributionTest.DiscreteDistributionProbabilityAxioms ( )

inline

References Meta.Numerics.Statistics.Distributions.DiscreteDistribution.LeftInclusiveProbability(), Meta.Numerics.Statistics.Distributions.DiscreteDistribution.ProbabilityMass(), and Meta.Numerics.Statistics.Distributions.DiscreteDistribution.RightExclusiveProbability().

void Test.DiscreteDistributionTest.DiscreteDistributionInverseCDF ( )

inline

References Meta.Numerics.Statistics.Distributions.DiscreteDistribution.InverseLeftProbability(), Meta.Numerics.Statistics.Distributions.DiscreteDistribution.LeftExclusiveProbability(), and Meta.Numerics.Statistics.Distributions.DiscreteDistribution.LeftInclusiveProbability().

void Test.DiscreteDistributionTest.DiscreteContinuousAgreement ( )

inline

void Test.DiscreteDistributionTest.OutsideDiscreteDistributionSupport ( )

inline

References Meta.Numerics.Statistics.Distributions.DiscreteDistribution.LeftInclusiveProbability(), Meta.Numerics.Statistics.Distributions.DiscreteDistribution.Maximum, Meta.Numerics.Statistics.Distributions.DiscreteDistribution.Minimum, Meta.Numerics.Statistics.Distributions.DiscreteDistribution.ProbabilityMass(), and Meta.Numerics.Statistics.Distributions.DiscreteDistribution.RightExclusiveProbability().

void Test.DiscreteDistributionTest.PoissonBug ( )

inline

References Meta.Numerics.Statistics.Distributions.PoissonDistribution.InverseLeftProbability().

void Test.DiscreteDistributionTest.DiscreteDistributionRandomValues ( )

inline

References Meta.Numerics.Statistics.Histogram.Add(), Meta.Numerics.Statistics.Histogram.ChiSquaredTest(), Meta.Numerics.Statistics.Distributions.DiscreteDistribution.GetRandomValue(), Meta.Numerics.Statistics.Distributions.DiscreteDistribution.Maximum, Meta.Numerics.Statistics.Distributions.DiscreteDistribution.Mean, Meta.Numerics.Statistics.TestResult.RightProbability, and Meta.Numerics.Statistics.Distributions.UnivariateDistribution.StandardDeviation.

void Test.DiscreteDistributionTest.DiscreteDistributionBase ( )

inline

References Meta.Numerics.Statistics.Distributions.DiscreteDistribution.InverseLeftProbability(), Meta.Numerics.Statistics.Distributions.DiscreteDistribution.LeftInclusiveProbability(), Meta.Numerics.Statistics.Distributions.DiscreteDistribution.Mean, Meta.Numerics.Statistics.Distributions.DiscreteDistribution.Moment(), Meta.Numerics.Statistics.Distributions.DiscreteDistribution.MomentAboutMean(), Meta.Numerics.Statistics.Distributions.DiscreteDistribution.ProbabilityMass(), and Meta.Numerics.Statistics.Distributions.UnivariateDistribution.Variance.

Member Data Documentation

TestContext Test.DiscreteDistributionTest.testContextInstance

private

DiscreteDistribution [] Test.DiscreteDistributionTest.distributions

private

Initial value:

= new DiscreteDistribution[] {
            new BernoulliDistribution(0.1),
            new BinomialDistribution(0.2, 30), new BinomialDistribution(0.4, 5),
            new PoissonDistribution(4.5), new PoissonDistribution(400.0),
            new DiscreteUniformDistribution(5, 11),
            new GeometricDistribution(0.6)
        }

Property Documentation

TestContext Test.DiscreteDistributionTest.TestContext

getset

Gets or sets the test context which provides information about and functionality for the current test run. /summary>

The documentation for this class was generated from the following file:

igtest/numerics/MetaNumerics/Numerics/Test/DiscreteDistributionTest.cs

Public Member Functions

Static Public Member Functions

Properties

Private Attributes

Member Function Documentation

Member Data Documentation

Property Documentation