IGLib  1.7.2
The IGLib base library EXTENDED - with other lilbraries and applications.
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Properties Events Macros
Meta.Numerics.Statistics.Sample Member List

This is the complete list of members for Meta.Numerics.Statistics.Sample, including all inherited members.

Add(double value)Meta.Numerics.Statistics.Sampleinline
Add(IEnumerable< double > values)Meta.Numerics.Statistics.Sampleinline
Add(params double[] values)Meta.Numerics.Statistics.Sampleinline
Clear()Meta.Numerics.Statistics.Sampleinline
ComputeDStatistics(Distribution distribution, out double D1, out double D2)Meta.Numerics.Statistics.Sampleinlineprivate
Contains(double value)Meta.Numerics.Statistics.Sampleinline
Copy()Meta.Numerics.Statistics.Sampleinline
CopyTo(double[] array, int start)Meta.Numerics.Statistics.Sampleinlineprivate
CountMeta.Numerics.Statistics.Sample
dataMeta.Numerics.Statistics.Sampleprivate
EstimateCentralMoment(int r)Meta.Numerics.Statistics.Sampleinlineprivate
EstimateFirstCumulant()Meta.Numerics.Statistics.Sampleinlineprivate
EstimateSecondCumulant()Meta.Numerics.Statistics.Sampleinlineprivate
EstimateThirdCumulant()Meta.Numerics.Statistics.Sampleinlineprivate
FisherFTest(Sample a, Sample b)Meta.Numerics.Statistics.Sampleinlinestatic
GetEnumerator()Meta.Numerics.Statistics.Sampleinline
GetEnumerator()Meta.Numerics.Statistics.Sampleinlineprivate
InterquartileRangeMeta.Numerics.Statistics.Sample
InverseLeftProbability(double P)Meta.Numerics.Statistics.Sampleinline
IsReadOnlyMeta.Numerics.Statistics.Sample
isReadOnlyMeta.Numerics.Statistics.Sampleprivate
KolmogorovSmirnovTest(Distribution distribution)Meta.Numerics.Statistics.Sampleinline
KolmogorovSmirnovTest(Distribution distribution, int count)Meta.Numerics.Statistics.Sampleinlineprivate
KolmogorovSmirnovTest(Sample a, Sample b)Meta.Numerics.Statistics.Sampleinlinestatic
KruskalWallisTest(IList< Sample > samples)Meta.Numerics.Statistics.Sampleinlinestatic
KruskalWallisTest(params Sample[] samples)Meta.Numerics.Statistics.Sampleinlinestatic
KuiperTest(Distribution distribution)Meta.Numerics.Statistics.Sampleinline
LeftProbability(double value)Meta.Numerics.Statistics.Sampleinline
Load(IDataReader reader, int dbIndex)Meta.Numerics.Statistics.Sampleinline
MannWhitneyTest(Sample a, Sample b)Meta.Numerics.Statistics.Sampleinlinestatic
MaximumMeta.Numerics.Statistics.Sample
MaximumLikelihoodFit(IParameterizedDistribution distribution)Meta.Numerics.Statistics.Sampleinline
MeanMeta.Numerics.Statistics.Sample
MedianMeta.Numerics.Statistics.Sample
MinimumMeta.Numerics.Statistics.Sample
Moment(int n)Meta.Numerics.Statistics.Sampleinline
MomentAboutMean(int n)Meta.Numerics.Statistics.Sampleinline
NameMeta.Numerics.Statistics.Sample
OneWayAnovaTest(params Sample[] samples)Meta.Numerics.Statistics.Sampleinlinestatic
OneWayAnovaTest(IList< Sample > samples)Meta.Numerics.Statistics.Sampleinlinestatic
PopulationMeanMeta.Numerics.Statistics.Sample
PopulationMoment(int n)Meta.Numerics.Statistics.Sampleinline
PopulationMomentAboutMean(int n)Meta.Numerics.Statistics.Sampleinline
PopulationStandardDeviationMeta.Numerics.Statistics.Sample
PopulationVarianceMeta.Numerics.Statistics.Sample
Remove(double value)Meta.Numerics.Statistics.Sampleinline
Sample()Meta.Numerics.Statistics.Sampleinline
Sample(string name)Meta.Numerics.Statistics.Sampleinline
Sample(IEnumerable< double > values)Meta.Numerics.Statistics.Sampleinline
Sample(params double[] values)Meta.Numerics.Statistics.Sampleinline
SignTest(double referenceMedian)Meta.Numerics.Statistics.Sampleinline
SkewnessMeta.Numerics.Statistics.Sample
StandardDeviationMeta.Numerics.Statistics.Sample
StudentTTest(double referenceMean)Meta.Numerics.Statistics.Sampleinline
StudentTTest(Sample a, Sample b)Meta.Numerics.Statistics.Sampleinlinestatic
Transform(Func< double, double > transformFunction)Meta.Numerics.Statistics.Sampleinline
VarianceMeta.Numerics.Statistics.Sample
ZTest(double referenceMean, double referenceStandardDeviation)Meta.Numerics.Statistics.Sampleinline