IGLib  1.7.2
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Public Member Functions | List of all members
Test.BivariateSampleTest Class Reference

Public Member Functions

void BivariateSampleManipulations ()
 
void BivariateSampleEnumerations ()
 
void BivariateSampleCopy ()
 
void PearsonRDistribution ()
 
void LinearLogisticRegression ()
 
void BivariateLinearRegression ()
 
void BivariateLinearRegressionGoodnessOfFitDistribution ()
 
void BivariatePolynomialRegression ()
 
void BivariateLinearPolynomialRegressionAgreement ()
 

Member Function Documentation

void Test.BivariateSampleTest.BivariateSampleManipulations ( )
inline

References Meta.Numerics.Statistics.BivariateSample.Add(), Meta.Numerics.Statistics.BivariateSample.Clear(), Meta.Numerics.Statistics.BivariateSample.Contains(), Meta.Numerics.Statistics.BivariateSample.Count, and Meta.Numerics.Statistics.BivariateSample.Remove().

void Test.BivariateSampleTest.BivariateSampleEnumerations ( )
inline
void Test.BivariateSampleTest.BivariateSampleCopy ( )
inline

References Meta.Numerics.Statistics.BivariateSample.Add(), Meta.Numerics.Statistics.BivariateSample.Copy(), and Meta.Numerics.Statistics.BivariateSample.Count.

void Test.BivariateSampleTest.PearsonRDistribution ( )
inline

References Meta.Numerics.Statistics.BivariateSample.Add(), Meta.Numerics.Statistics.Sample.Add(), Meta.Numerics.Statistics.Sample.KolmogorovSmirnovTest(), Meta.Numerics.Statistics.TestResult.LeftProbability, Meta.Numerics.Statistics.BivariateSample.PearsonRTest(), and Meta.Numerics.Statistics.TestResult.Statistic.

void Test.BivariateSampleTest.LinearLogisticRegression ( )
inline

References Meta.Numerics.Statistics.BivariateSample.Add(), Meta.Numerics.Interval.ClosedContains(), Meta.Numerics.UncertainValue.ConfidenceInterval(), Meta.Numerics.Statistics.BivariateSample.Count, Meta.Numerics.Statistics.FitResult.Covariance(), Meta.Numerics.Statistics.BivariateSample.LinearLogisticRegression(), Meta.Numerics.Statistics.FitResult.Parameter(), Meta.Numerics.Statistics.BivariateSample.PopulationCovariance, Meta.Numerics.Statistics.Sample.PopulationMean, Meta.Numerics.Statistics.Sample.PopulationVariance, Meta.Numerics.UncertainValue.Value, Meta.Numerics.Statistics.BivariateSample.X, and Meta.Numerics.Statistics.BivariateSample.Y.

void Test.BivariateSampleTest.BivariateLinearRegression ( )
inline

References Meta.Numerics.Statistics.BivariateSample.Add(), Meta.Numerics.Statistics.Sample.Add(), Meta.Numerics.Interval.ClosedContains(), Meta.Numerics.UncertainValue.ConfidenceInterval(), Meta.Numerics.Statistics.BivariateSample.Count, Meta.Numerics.Statistics.FitResult.Covariance(), Meta.Numerics.Statistics.Distributions.Distribution.GetRandomValue(), Meta.Numerics.Statistics.FitResult.GoodnessOfFit, Meta.Numerics.Statistics.Sample.KolmogorovSmirnovTest(), Meta.Numerics.Statistics.TestResult.LeftProbability, Meta.Numerics.Statistics.BivariateSample.LinearRegression(), Meta.Numerics.Statistics.FitResult.Parameter(), Meta.Numerics.Statistics.BivariateSample.PopulationCovariance, Meta.Numerics.Statistics.Sample.PopulationMean, Meta.Numerics.Statistics.Sample.PopulationVariance, Meta.Numerics.Statistics.TestResult.Statistic, Meta.Numerics.UncertainValue.Value, Meta.Numerics.Statistics.BivariateSample.X, and Meta.Numerics.Statistics.BivariateSample.Y.

void Test.BivariateSampleTest.BivariateLinearRegressionGoodnessOfFitDistribution ( )
inline

References Meta.Numerics.Statistics.BivariateSample.Add(), Meta.Numerics.Statistics.Sample.Add(), Meta.Numerics.Statistics.Distributions.NormalDistribution.GetRandomValue(), Meta.Numerics.Statistics.FitResult.GoodnessOfFit, Meta.Numerics.Statistics.Sample.KolmogorovSmirnovTest(), Meta.Numerics.Statistics.TestResult.LeftProbability, Meta.Numerics.Statistics.BivariateSample.LinearRegression(), Meta.Numerics.Statistics.Distributions.UnivariateDistribution.Mean, Meta.Numerics.Statistics.Sample.PopulationMean, and Meta.Numerics.Statistics.TestResult.Statistic.

void Test.BivariateSampleTest.BivariatePolynomialRegression ( )
inline

References Meta.Numerics.Statistics.BivariateSample.Add(), Meta.Numerics.Statistics.MultivariateSample.Add(), Meta.Numerics.Statistics.Sample.Add(), Meta.Numerics.Interval.ClosedContains(), Meta.Numerics.Statistics.MultivariateSample.Column(), Meta.Numerics.UncertainValue.ConfidenceInterval(), Meta.Numerics.Statistics.MultivariateSample.Count, Meta.Numerics.Statistics.FitResult.CovarianceMatrix(), Meta.Numerics.Statistics.MultivariateSample.Dimension, Meta.Numerics.Statistics.Distributions.Distribution.GetRandomValue(), Meta.Numerics.Statistics.FitResult.GoodnessOfFit, Meta.Numerics.Statistics.FitResult.Parameters(), Meta.Numerics.Statistics.BivariateSample.PolynomialRegression(), Meta.Numerics.Statistics.BivariateSample.PopulationCovariance, Meta.Numerics.Statistics.Sample.PopulationMean, Meta.Numerics.MoreMath.Pow(), Meta.Numerics.Statistics.TestResult.Statistic, and Meta.Numerics.Statistics.MultivariateSample.TwoColumns().

void Test.BivariateSampleTest.BivariateLinearPolynomialRegressionAgreement ( )
inline

References Meta.Numerics.Statistics.BivariateSample.Add(), Meta.Numerics.Statistics.FitResult.CovarianceMatrix(), Meta.Numerics.Statistics.FitResult.GoodnessOfFit, Meta.Numerics.Statistics.BivariateSample.LinearRegression(), Meta.Numerics.Statistics.FitResult.Parameters(), Meta.Numerics.Statistics.BivariateSample.PolynomialRegression(), and Meta.Numerics.Statistics.TestResult.Statistic.

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