stats/
stats/ANOVAWithMultipleResponsesExample.m
stats/ANOVAWithRandomEffectsExample.m
stats/ANOVAforFixedEffectsinLMEModelExample.m
stats/AccessDatainDatasetArrayVariablesExample.m
stats/AddAReferenceLineAtTheMeanExample.m
stats/AddLevelsToANominalArrayExample.m
stats/AddPopulationAndFittedMeanFunctionsExample.m
stats/AddaTermtoaModelExample.m
stats/AdjustLinePropertiesInParallelCoordinatesPlotExample.m
stats/AdjustNormalProbabilityPlotLinePropertiesExample.m
stats/AdjustPlotColorThemeExample.m
stats/AlterPropertiesOfAExhaustiveSearcherModelExample.m
stats/AlterPropertiesOfAkDTreeObjectExample.m
stats/AnalyzeBinaryLearnersOfAnECOCClassifierExample.m
stats/AnalyzeImagesUsingLinearSupportVectorMachinesExample.m
stats/AnsariBradleyOneSidedHypothesisTestExample.m
stats/ArchimedeanCopulasExample.m
stats/AssessFitofModelUsingFstatisticExample.m
stats/AssessModelAssumptionsUsingResidualsExample.m
stats/AssessSignificanceofRegressionCoefficientsUsingtstatistiExample.m
stats/AssessWhetherOneModelClassifiesBetterThanAnotherExample.m
stats/AssessWhetherOneModelClassifiesBetterThanAnotherTCKFExample.m
stats/AssessWhetherOneModelcHExample.m
stats/AssessingNormaliltyUsingANormalProbabilityPlotExample.m
stats/BayesianOptimizationWithCoupledConstraintsExample.m
stats/BayesianOutputFunctionExample.m
stats/BestPointOfAnOptimizedKNNClassifierExample.m
stats/BetaDistributionParametersExample.m
stats/BinnedScatterPlotOfNormallyDistributedRandomDataExample.m
stats/BinomialDistributionConceptExample.m
stats/BiplotOfCoefficientsAndScoresExample.m
stats/BootstrapResamplingExample.m
stats/BootstrappingACorrelationCoefficientStandardErrorExample.m
stats/BootstrappingARegressionModelExample.m
stats/BootstrappingMultipleStatisticsExample.m
stats/BoxPlotConceptExample.m
stats/BurrpdfforVariousParametersExample.m
stats/CCodeGenerationForImageClassifierExample.m
stats/CDFOfHalfNormalProbabilityDistributionExample.m
stats/CLusterDataAndPlotTheResultExample.m
stats/CapabilityIndicesExample.m
stats/CapabilityStudiesExample.m
stats/CategorizeNumericDataExample.m
stats/ChangeCategoryLabelsExample.m
stats/ChangeParameterConfidenceIntervalsExample.m
stats/ChiSquaredTestUsingOneSidedHypothesisExample.m
stats/ChiSquaredTestforSpecifiedVarianceExample.m
stats/ChooseAmongSeveralRandomCodingDesignsExample.m
stats/ClassificationTreeResubstitutionErrorExample.m
stats/ClassificationWithManyCategoricalLevels1Example.m
stats/ClassifyAnObservationUsingATrainedSVMClassifierExample.m
stats/ClassifyUsingDiscriminantAnalysisExample.m
stats/ClassifyUsingKNearestNeighborsExample.m
stats/ClassifyingQueryDataUsingKnnsearchExample.m
stats/ClassifyingRadarReturnsForIonosphereDataWithTreeBaggerExample.m
stats/ClusterDataFromAGaussianMixtureDistributionExample.m
stats/ClusterDataUsingAGaussianMixtureModelExample.m
stats/ClusterGaussianMixtureDataUsingSoftClusteringExample.m
stats/ClusteringIllustrationExample.m
stats/ClusteringUsingGaussianMixtureModelsExample.m
stats/CommonIndexingAndSearchingConceptExample.m
stats/CommonIndexingAndSearchingMethodsExample.m
stats/CompactALinearRegressionModelExample.m
stats/CompactClassificationEnsembleModelExample.m
stats/CompactRegressionEnsembleModelExample.m
stats/CompareAccuraciesOfTwoDifferentClassificationModelsExample.m
stats/CompareAccuraciesOfTwoDifferentClassificationModelsTCKFExample.m
stats/CompareAccuraciesOfTwoDifferentClassificationModelscHOExample.m
stats/CompareBeamStrengthUsingOneWayANOVAExample.m
stats/CompareCDFsOfStableDistributionsExample.m
stats/CompareClassificationMethodsUsingROCCurveExample.m
stats/CompareClassificationTreePredictorSelectionAlgorithmsExample.m
stats/CompareClassifiersUsingCrossValidationExample.m
stats/CompareClusterAssignmentsToClustersExample.m
stats/CompareDecisionBoundariesAmongSeveralClassificationAlgorExample.m
stats/CompareEmpiricalCDFwithKnownCDFExample.m
stats/CompareHandwrittenShapesExample.m
stats/CompareHistogramwithKnownProbabilityDistributionFunctionExample.m
stats/CompareInSamplePosteriorProbabilitiesForEachSubTreeExample.m
stats/CompareKendallAndSpearmanRankCorrelationCoefficientsExample.m
stats/CompareLognormalandBurrpdfsExample.m
stats/CompareMahalanobisAndSquaredEuclideanDistancesExample.m
stats/ComparePDFsOfStableDistributionsExample.m
stats/ComparePerformanceOfLinearAndNonlinearSVMExample.m
stats/CompareRobustAndLeastSquaresRegressionExample.m
stats/CompareStudentsTAndNormalDistributionsExample.m
stats/ComparisonPlotForStableDistributionsExample.m
stats/ComponentANOVATableforLinearModelExample.m
stats/ComputeAndPlotHypergeometricDistributionCDFExample.m
stats/ComputeAndPlotNegativeBinomialDistributionPDFExample.m
stats/ComputeAndPlotNoncentralFDistributionPdfExample.m
stats/ComputeAndPlotPoissonDistributionPDFExample.m
stats/ComputeAndPlotRayleighDistributionCdfExample.m
stats/ComputeAndPlotRayleighDistributionPdfExample.m
stats/ComputeAndPlotTheNormalDistributionPdfExample.m
stats/ComputeChiSquareDistributionPdfExample.m
stats/ComputeCoefficientConfidenceIntervalsExample.m
stats/ComputeCoefficientCovarianceandStandardErrorsExample.m
stats/ComputeConfidenceIntervalsforRandomEffectsExample.m
stats/ComputeCumulativeProbabilitiesOverRegionsExample.m
stats/ComputeEmpiricalCumulativeDistributionFunctionExample.m
stats/ComputeEstimationLossForNCAModelExample.m
stats/ComputeEstimationLossOfNCAModelForRegressionExample.m
stats/ComputeGaussianCopulaCdfExample.m
stats/ComputeGaussianCopulaPdfExample.m
stats/ComputeGaussianCopulaRankCorrelationExample.m
stats/ComputeGeneralizedParetoDistributionPdfExample.m
stats/ComputeGeometricDistributionCdfExample.m
stats/ComputeGeometricDistributionIcdfExample.m
stats/ComputeGeometricDistributionPdfExample.m
stats/ComputeInconsistencyCoefficientExample.m
stats/ComputeMeanAndVarianceOfGeometricDistributionExample.m
stats/ComputeMultivariateNormalCdfExample.m
stats/ComputeNoncentralChiSquareDistributionPdfExample.m
stats/ComputeNoncentralFDistributionPdfExample.m
stats/ComputeNoncentralTDistributionPdfExample.m
stats/ComputeNumberOfMisclassifiedObservationsExample.m
stats/ComputePointwiseConfidenceIntervalsForROCCurveExample.m
stats/ComputePostFitStatisticsExample.m
stats/ComputePosteriorProbabilitiesForGaussianMixtureVariatesExample.m
stats/ComputePowerAmdSampleSizeForOneSidedTestExample.m
stats/ComputePowerForATwoSampleTTestExample.m
stats/ComputePredictionsandRegressionLossforTestDataExample.m
stats/ComputeRegressionLossforTestDataExample.m
stats/ComputeRobustCovarianceAndPlotTheOutliersExample.m
stats/ComputeSampleCanonicalCorrelationExample.m
stats/ComputeSampleSizeForABinomialTestExample.m
stats/ComputeSampleSizeForSelectedPowerValueExample.m
stats/ComputeSilhouetteValuesExample.m
stats/ComputeStudentsTCdfExample.m
stats/ComputeStudentsTIcdfExample.m
stats/ComputeStudentsTMeanAndVarianceExample.m
stats/ComputeStudentsTPdfExample.m
stats/ComputeTheCostOfADecisionTreeExample.m
stats/ComputeTheCrossValidationError1Example.m
stats/ComputeTheCrossValidationErrorExample.m
stats/ComputeTheExponentialDistributionPdfExample.m
stats/ComputeTheExtremeValueDistributionPdfExample.m
stats/ComputeTheFDistributionPdfExample.m
stats/ComputeTheGammaDistributionPdfExample.m
stats/ComputeTheGeneralizedExtremeValueDistributionPdfExample.m
stats/ComputeTheInSampleMSE1Example.m
stats/ComputeTheInSampleMSE2Example.m
stats/ComputeTheInSampleMSEExample.m
stats/ComputeTheInsampleClassificationErrorExample.m
stats/ComputeTheInterquartileRangeExample.m
stats/ComputeTheLogConditionalProbabiltiyOfAnObservationExample.m
stats/ComputeTheLognormalDistributionCdfExample.m
stats/ComputeTheLognormalDistributionInverseCdfExample.m
stats/ComputeTheLognormalDistributionPdfExample.m
stats/ComputeTheLognormalIncomeDensityExample.m
stats/ComputeTheMultinomialDistributionPdfExample.m
stats/ComputeTheMultivariateNormalPdfExample.m
stats/ComputeTheMultivariateTDistributionCdfExample.m
stats/ComputeTheMultivariateTDistributionPdfExample.m
stats/ComputeTheNegativeBinomialDistributionPdfExample.m
stats/ComputeTheNormalDistributionCdfExample.m
stats/ComputeTheNormalDistributionIcdfExample.m
stats/ComputeTheNormalDistributionInterquartileRangeExample.m
stats/ComputeTheNormalDistributionPdfExample.m
stats/ComputeThePoissonDistributionCdfExample.m
stats/ComputeThePoissonDistributionIcdfExample.m
stats/ComputeThePoissonDistributionPdfExample.m
stats/ComputeUnconditionalProbabilityDensitiesOfObservationsExample.m
stats/ComputeandExamineDelete1VarianceValuesExample.m
stats/ComputetheResubstitutedClassificationErrorExample.m
stats/ConditionalQuantileEstimationUsingKernelSmoothingExample.m
stats/ConductACostSensitiveComparisonOfTwoClassificationModelsExample.m
stats/ConductACostSensitiveComparisonOfTwocHOExample.m
stats/ConfidenceIntervalsforFixedEffectsCoefficientsExample.m
stats/ConfidenceIntervalswithSpecifiedOptionsExample.m
stats/ConstructAGaussianMixtureDistributionExample.m
stats/ConstructKNNClassifierExample.m
stats/ConstructaRegressionTreeExample.m
stats/ConstructingDependentBivariateDistributionsExample.m
stats/ContinuousUniformDistributionExample.m
stats/ControlTheTreeDepthExample.m
stats/ControlTheTreeDepthfitctreeExample.m
stats/ControlTreeDepthExample.m
stats/CountObservationsInEachLevelExample.m
stats/CreateABayesianOptimizationObjectExample.m
stats/CreateABayesianOptimizationObjectUsingAFitFunctionExample.m
stats/CreateABoxPlotExample.m
stats/CreateACustomPlotFunctionExample.m
stats/CreateADefaultECOCClassificationLearnerTemplateExample.m
stats/CreateAHalfNormalDistributionObjectUsingDefaultParamExample.m
stats/CreateAHalfNormalDistributionObjectUsingSpecifiedParamExample.m
stats/CreateANormalDensityPlotExample.m
stats/CreateANormalProbabilityPlotUsingFrequencyDataExample.m
stats/CreateAProcessCapabilityPlotExample.m
stats/CreateAStableDistributionObjectUsingDefaultParametersExample.m
stats/CreateAStableDistributionObjectUsingSpecifiedParametersExample.m
stats/CreateAWeibullProbabilityPlotExample.m
stats/CreateAndLabelNominalArraysExample.m
stats/CreateAndLabelOrdinalArraysExample.m
stats/CreateAndManipulateNominalArraysExample.m
stats/CreateAndManipulateOrdinalArraysExample.m
stats/CreateAndVisualizeDiscriminantAnalysisClassifierExample.m
stats/CreateAndrewsPlotToVisualizeGroupedDataExample.m
stats/CreateBoxPlotsForGroupedDataExample.m
stats/CreateCompactBoxPlotsExample.m
stats/CreateCrossValidatedLinearClassificationModelExample.m
stats/CreateCrossValidatedLinearRegressionModelExample.m
stats/CreateCrossValidatedMulticlassLinearClassificationModelExample.m
stats/CreateDatasetArrayfromHeterogeneousWorkspaceVariablesExample.m
stats/CreateDefaultNaiveBayesTemplateExample.m
stats/CreateDefaultSupportVectorMachineTemplateExample.m
stats/CreateDiscriminantAnalysisClassifiersExample.m
stats/CreateEnsembleLearningTemplateExample.m
stats/CreateEnsembleTemplateForECOCMulticlassLearningExample.m
stats/CreateHierarchicalClusterTreeFromSampleDataExample.m
stats/CreateHierarchicalClusterTreeUsingWardsLinkageExample.m
stats/CreateKNearestNeighborsTemplateForECOCMulticlassLearningExample.m
stats/CreateMatrixOfScatterPlotsWithGroupedDataExample.m
stats/CreateNaiveBayesTemplateForECOCMulticlassLearningExample.m
stats/CreateNominalArraysExample.m
stats/CreateNotchedBoxPlotsExample.m
stats/CreateOrdinalArraysExample.m
stats/CreatePredictiveEnsembleUsingCrossValidationClassExample.m
stats/CreatePredictiveEnsembleUsingCrossValidationExample.m
stats/CreateRegressionTreesUsingClassregtreeExample.m
stats/CreateSVMTemplateForECOCMulticlassLearningExample.m
stats/CreateScatterPlotsUsingGroupedDataExample.m
stats/CreateScatterhistPlotInSpecifiedParentContainerExample.m
stats/CreateSilhouettePlotExample.m
stats/CreateVariablesForBayesianOptimizationExample.m
stats/CreateaClassificationTemplatewithSurrogateSplitsExample.m
stats/CreateaDatasetArrayfromaNumericArrayExample.m
stats/CreateaGeneralizedLinearModelStepwiseExample.m
stats/CreateaLoglogisticDistributionObjectUsingDefaultParameteExample.m
stats/CreateaLoglogisticDistributionObjectUsingSpecifiedParameExample.m
stats/CreateaLognormalDistributionObjectUsingDefaultParametersExample.m
stats/CreateaLognormalDistributionObjectUsingSpecifiedParameteExample.m
stats/CreateaPiecewiseLinearDistributionObjectUsingDefaultParaExample.m
stats/CreateaPiecewiseLinearDistributionObjectUsingSpecifiedPaExample.m
stats/CreateaScatterhistPlotExample.m
stats/CreateaWeibullDistributionObjectUsingDefaultParametersExample.m
stats/CreateaWeibullDistributionObjectUsingSpecifiedParameterVExample.m
stats/CreateanAddedVariablePlotExample.m
stats/CreateanAddedVariablePlotforParticularVariablesExample.m
stats/CreateanInverseGaussianDistributionObjectUsingDefaultParExample.m
stats/CreateanInverseGaussianDistributionObjectUsingSpecifiedPExample.m
stats/CreatingAndSimulatingFromGaussianMixtureModelsExample.m
stats/CrossTabulateGroupedDataExample.m
stats/CrossTabulateIndependentDataVectorsExample.m
stats/CrossTabulateTwoDataVectorsExample.m
stats/CrossValidateANaiveBayesClassifierUsingCrossvalExample.m
stats/CrossValidateARegressionTreeExample.m
stats/CrossValidateAnECOCClassifierExample.m
stats/CrossValidateAnSVMClassifierUsingCrossvalExample.m
stats/CrossValidateLinearClassificationModel1Example.m
stats/CrossValidateLinearClassificationModelExample.m
stats/CrossValidateLinearRegressionModelExample.m
stats/CrossValidateRegressionTreeExample.m
stats/CrossValidateSVMRegressionModelExample.m
stats/CrossValidatingADiscriminantAnalysisClassifierExample.m
stats/CustomConfidenceIntervalsExample.m
stats/CustomizePlotsUsingAxesHandlesExample.m
stats/CustomizethePlotDisplayExample.m
stats/DataWithMissingValuesExample.m
stats/DefaultConfidenceIntervalsExample.m
stats/DendogramOfGroupMeansAfterMANOVAExample.m
stats/DescriptiveStatisticsExample.m
stats/DetectOutliersUsingDistanceDistancePlotsExample.m
stats/DetectOutliersUsingSVMAndOneClassLearningExample.m
stats/DetectRelevantFeaturesInToyDataUsingNCAClassificationExample.m
stats/DetermineDimensionsNeededToExplainNonrandomDataVariationExample.m
stats/DetermineECOCModelQualityUsingACustomCrossValidationLossExample.m
stats/DetermineECOCModelQualityUsingACustomLossExample.m
stats/DetermineECOCModelQualityUsingACustomResubstitutionLossExample.m
stats/DetermineGaussianMixtureFitUsingAICExample.m
stats/DetermineHighLeverageObservationsExample.m
stats/DetermineInSampleClassificationErrorOfSVMClassifiersExample.m
stats/DetermineInfluentialObservationsUsingCovRatioExample.m
stats/DetermineObservationsInfluentialonCoefficientsUsingDfbetExample.m
stats/DetermineObservationsInfluentialonFittedResponseUsingDffExample.m
stats/DetermineOutliersUsingCooksDistanceExample.m
stats/DetermineQualityOfSVMClassifiersUsingEdgeExample.m
stats/DetermineResubstitutionClassificationErrorOfNaiveBayesClExample.m
stats/DetermineSVMClassificationQualityUsingHingeLossExample.m
stats/DetermineTheImportantPredictorsExample.m
stats/DetermineTheInSampleHingeLossOfSVMClassifiersExample.m
stats/DetermineTheParameterValueForCustomKernelFunctionExample.m
stats/DetermineTheResubstitutionLossOfECOCModelsExample.m
stats/DetermineTheResubstitutionLossOfNaiveBayesClassifiersExample.m
stats/DetermineTheResubstitutionLossOfSVMClassifiersExample.m
stats/DetermineTheTestSampleClassificationErrorOfNaiveBayes1Example.m
stats/DetermineTheTestSampleClassificationErrorOfNaiveBayesClaExample.m
stats/DetermineTheTestSampleLossOfECOCModelsExample.m
stats/DeterminekfoldCrossValidationLossOfECOCModelsExample.m
stats/DiagnosticPlotsExample.m
stats/DiagnosticPlotsForGeneralizedLinearModelsExample.m
stats/DiscardSupportVectorsExample.m
stats/DiscriminantAnalysisTemplateforNondefaultOptionsExample.m
stats/DisplayCoefficientofDeterminationExample.m
stats/DisplayIndividualLossesForEachCrossValidationFoldExample.m
stats/DisplayInteractionPlotsExample.m
stats/DisplayaLinearRegressionModelExample.m
stats/DistributionPlotsExample.m
stats/DrawHistogramforGivenBinCentersExample.m
stats/DropLevelsFromAnOrdinalArrayExample.m
stats/EffectsPlotforFittedLinearRegressionModelExample.m
stats/EfficiencyOfTheTrimmedMeanExample.m
stats/EmpiricalHazardFunctionofRightCensoredDataExample.m
stats/EmpiricalSurvivorFunctionwith99ConfidenceBoundsExample.m
stats/ErrorPredicitonExample.m
stats/EsimtateTheResubstitutionEdgeOfDiscriminantAnalysisClassExample.m
stats/EsimtateThekfoldEdgeOfAClassifierExample.m
stats/EsimtateThekfoldMarginsOfAClassifierExample.m
stats/Estimate8FoldCrossValidationEdgeOfECOCModelsExample.m
stats/EstimateAWeightedMarginMeanOfAnSVMClassifierExample.m
stats/EstimateAndPlotFactorLoadingsExample.m
stats/EstimateClassPosteriorProbabilitiesUsingAClassExample.m
stats/EstimateClassificationEdgeOfTrainedSVMModelExample.m
stats/EstimateClassificationError1Example.m
stats/EstimateClassificationErrorExample.m
stats/EstimateClassificationErrorForTrainingObservationsExample.m
stats/EstimateClassificationMarginsFromATrainedSVMClassifierExample.m
stats/EstimateConditionalCumulativeDistributionQuantileRegExample.m
stats/EstimateCrossValidatedClassificationError1Example.m
stats/EstimateCrossValidatedClassificationErrorExample.m
stats/EstimateCrossValidationPosteriorProbabilitiesOfECOCModelExample.m
stats/EstimateCrossValidationPredictionsFromAnEnsembleExample.m
stats/EstimateCumulativeDistributionFunctionatSpecifiedValuesExample.m
stats/EstimateDensityExample.m
stats/EstimateGeneralizationErrorOfBoostingEnsembleExample.m
stats/EstimateGeneralizationErrorOfBoostingEnsemblesExample.m
stats/EstimateImportanceOfPredictorsClassExample.m
stats/EstimateImportanceOfPredictorsExample.m
stats/EstimateInSampleClassificationMarginsOfECOCModelsExample.m
stats/EstimateInSampleClassificationMarginsOfNaiveBayesClassifExample.m
stats/EstimateInSamplePosteriorProbabilitiesOfNaiveBayesClassiExample.m
stats/EstimateInSamplePosteriorProbabilitiesOfSVMClassifiersExample.m
stats/EstimateInSampleQuantileRegressionErrorExample.m
stats/EstimateInSampleResponsesForEachSubtreeExample.m
stats/EstimateInverseCDFforSpecifiedProbabilityValuesExample.m
stats/EstimateKFoldCrossValidationEdge1Example.m
stats/EstimateKFoldCrossValidationEdgeOfECOCModelsExample.m
stats/EstimateMomentsUsingIndependentMetropolisHastingsSamplinExample.m
stats/EstimateMultipleLinearRegressionCoefficientsExample.m
stats/EstimateMultivariateKernelDensityExample.m
stats/EstimateOOBCCDFUsingQuantileRegressionExample.m
stats/EstimateObservationScoresOfATrainedDecisionTreeExample.m
stats/EstimateOutOfBagErrorExample.m
stats/EstimateOutofBagEdgeExample.m
stats/EstimateOutofBagPredictionIntervalsUsingPercentilesExample.m
stats/EstimateOutofBagQuantileRegressionErrorExample.m
stats/EstimateOutofSampleResponsesForEachSubtreeExample.m
stats/EstimatePosteriorClassProbabilitiesECOCExample.m
stats/EstimatePosteriorClassProbabilitiesExample.m
stats/EstimatePosteriorProbabilitesForTestSamplesExample.m
stats/EstimatePosteriorProbabilitiesAndMisclassificationCostsExample.m
stats/EstimatePosteriorProbabilitiesUsingECOCClassifiersExample.m
stats/EstimatePredictionIntervalsUsingPercentilesExample.m
stats/EstimatePredictiveMeasuresOfAssociationClassExample.m
stats/EstimatePredictiveMeasuresOfAssociationExample.m
stats/EstimatePredictorImportanceEnsExample.m
stats/EstimatePredictorImportanceExample.m
stats/EstimatePredictorImportanceRegExample.m
stats/EstimatePredictorImportanceValuesExample.m
stats/EstimateResubstitutionLossOfBoostingEnsembleExample.m
stats/EstimateResubstitutionMarginsForDiscriminantAnalysisClasExample.m
stats/EstimateScoreTransformationFunctionForInseparableClassesExample.m
stats/EstimateSigmoidTransformationFunctionFromTrainedSVMModelExample.m
stats/EstimateSurvivorandCumHazardforCensoredFailureDataExample.m
stats/EstimateTestSampleClassificationLossExample.m
stats/EstimateTestSampleClassificationMarginsOfECOCModelsExample.m
stats/EstimateTestSampleClassificationMarginsOfNaiveBayesClassExample.m
stats/EstimateTestSampleClassificationMarginsOfSVMClassifiersExample.m
stats/EstimateTestSampleEdgeExample.m
stats/EstimateTestSampleMarginsExample.m
stats/EstimateTestSampleMeanSquaredError1Example.m
stats/EstimateTheDensityOfBootstrappedStatisticExample.m
stats/EstimateTheGeneralizationErrorOfATrainedBoostingEnsembleExample.m
stats/EstimateTheResubstitutionEdgeOfECOCModelsExample.m
stats/EstimateTheResubstitutionEdgeOfNaiveBayesClassifiersExample.m
stats/EstimateTheResubstitutionEdgeOfSVMClassifiersExample.m
stats/EstimateTheScoreTransformationFunctionForInseparableClasExample.m
stats/EstimateTheScoreTransformationFunctionForSeparableClasseExample.m
stats/EstimateTheTestSampleEdgeOfNaiveBayesClassifiersExample.m
stats/EstimateTheTestSampleEdgeOfSVMClassifiersExample.m
stats/EstimateTheTestSampleWeightedMarginMeanOfECOCModelsExample.m
stats/EstimateTheTestSampleWeightedMarginMeanOfNaiveBayesClassExample.m
stats/EstimatekFoldCrossValidationClassificationError1Example.m
stats/EstimatekFoldCrossValidationClassificationErrorExample.m
stats/EstimatekFoldCrossValidationEdgeExample.m
stats/EstimatekFoldCrossValidationMarginsECOCExample.m
stats/EstimatekFoldCrossValidationMarginsExample.m
stats/EstimatekFoldCrossValidationMarginsOfECOCModelsExample.m
stats/EstimatekFoldMeanSquaredErrorExample.m
stats/EstimatekfoldCrossValidationPosteriorClassProbabilitiesExample.m
stats/EvaluateClassificationErrorOfAClassificationTreeClassifiExample.m
stats/EvaluateDataForMultivariateNormalDistributionExample.m
stats/EvaluatetheClusteringSolutionUsingSilhouetteCriterionExample.m
stats/ExamineModelQualityUsingResidualsExample.m
stats/ExamineQualityAndAdjustTheFittedNonlinearModelExample.m
stats/ExamineQualityOfKNNClassifierExample.m
stats/ExamineResidualsOfAPoissonModelExample.m
stats/ExamineTheClassificationErrorAtEachLevelExample.m
stats/ExamineTheGaussianMixtureAssumptionExample.m
stats/ExamineTheMSEForEachSubTreeExample.m
stats/ExampleMultidimensionalScalingExample.m
stats/ExploratoryAnalysisOfDataExample.m
stats/ExploreFeatureSelectionNCAClassificationObjectExample.m
stats/ExploreFeatureSelectionNCARegressionObjectExample.m
stats/FTestsforFixedEffectsExample.m
stats/FactorAnalysisExample.m
stats/FeatureSelectionUsingTestSampleEdgesExample.m
stats/FeatureSelectionUsingTestSampleMarginsExample.m
stats/FeatureSelectionUsingkfoldEdges1Example.m
stats/FeatureSelectionUsingkfoldEdgesExample.m
stats/FeatureSelectionUsingkfoldMarginsECOCExample.m
stats/FeatureSelectionUsingkfoldMarginsExample.m
stats/FeatureTransformationExample.m
stats/FindEnsembleSizeUsingOOBQuantileRegressionErrorExample.m
stats/FindEnsembleSizeUsingQuantileRegressionExample.m
stats/FindGoodLassoPenaltyCrossValidatedClassificationLossExample.m
stats/FindGoodLassoPenaltyUsingAUCExample.m
stats/FindGoodLassoPenaltyUsingClassificationLossExample.m
stats/FindGoodLassoPenaltyUsingCrossValidatedAUCExample.m
stats/FindGoodLassoPenaltyUsingCrossValidationExample.m
stats/FindGoodLassoPenaltyUsingEdgeExample.m
stats/FindGoodLassoPenaltyUsingKfoldEdgeExample.m
stats/FindGoodLassoPenaltyUsingMarginsExample.m
stats/FindGoodLassoPenaltyUsingkfoldEdge1Example.m
stats/FindGoodLassoPenaltyUsingkfoldMarginsECOCExample.m
stats/FindGoodLassoPenaltyUsingkfoldMarginsExample.m
stats/FindMultipleClassBoundariesUsingBinarySVMExample.m
stats/FindNearestNeighborUsingACustomDistanceMetricExample.m
stats/FindTheBestPruningLevelUsingCrossValidation1Example.m
stats/FindTheBestPruningLevelUsingCrossValidationExample.m
stats/FindThePruningLevelYieldingTheOptimalInsampleLossExample.m
stats/FitAGaussianCopulaExample.m
stats/FitAGaussianMixtureModelToDataExample.m
stats/FitAGeneralizedExtremeValueDistributionExample.m
stats/FitAGeneralizedParetoDistributionExample.m
stats/FitAHalfNormalDistributionObjectExample.m
stats/FitAnExtremeValueDistributionExample.m
stats/FitGPRModelUsingCustomKernelFunctionExample.m
stats/FitKernelDistributionstoGroupedDataExample.m
stats/FitLinearMixedEffectsModelExample.m
stats/FitLinearRegressionUsingDatainTableExample.m
stats/FitLinearRegressionUsingSpecifiedModelFormulaExample.m
stats/FitNormalDistributionstoGroupedDataExample.m
stats/FitOptimalPosteriorProbabilityFunctionUsingLeaveOneOutCrExample.m
stats/FitParetoTailsToAProbabilityDistributionExample.m
stats/FitaBurrDistributionandDrawthecdfExample.m
stats/FitaGaussianMixtureModelExample.m
stats/FitaGeneralizedLinearModelExample.m
stats/FitaKernelDistributionObjecttoDataExample.m
stats/FitaKernelDistributiontoDataExample.m
stats/FitaNormalDistributiontoDataExample.m
stats/FittingCopulasToDataExample.m
stats/FittingGaussianProcessRegressionModelsToLargeDatasetsExample.m
stats/GageRRStudyExample.m
stats/GaussianMixtureModelsExample.m
stats/GeneralizedLinearModelWorkflowExample.m
stats/GenerateANormalProbabilityPlotExample.m
stats/GenerateAQuasiRandomPointSetExample.m
stats/GenerateAQuasiRandomStreamExample.m
stats/GenerateAndExponentiateNormalRandomVariablesExample.m
stats/GenerateCorrelatedDataUsingTheInverseCdfExample.m
stats/GenerateDiscreteUniformRandomNumbersExample.m
stats/GenerateGaussianMixtureVariatesExample.m
stats/GenerateMultivariateNormalRandomNumbersExample.m
stats/GenerateMultivariateTDistributionRandomNumbersExample.m
stats/GenerateRandomDataUsingTheTrimmedMeanExample.m
stats/GenerateRandomNumbersFromAProbabilityDistributionExample.m
stats/GenerateRandomNumbersFromGeometricDistributionExample.m
stats/GenerateRandomNumbersfromaTruncatedDistributionExample.m
stats/GenerateRandomSamplesFromAMultimodalDensityExample.m
stats/GenerateRandomSamplesUsingTheJohnsonSystemExample.m
stats/GenerateStudentsTDistributionRandomNumbersExample.m
stats/GeneratingDataUsingFlexibleFamiliesOfDistributionsExample.m
stats/GroupDataIntoTwoClustersKMedoidsExample.m
stats/GrowAAClassificationTreeExample.m
stats/GrowADefaultkdTreeExample.m
stats/GrowAKDtreeUsingTheMinkowskiDistanceMetricExample.m
stats/HandleforaHistogramwithaDistributionFitExample.m
stats/HazardandSurvivorFunctionsforDifferentGroupsExample.m
stats/HierarchicalClusteringExample.m
stats/HigherDimensionCopulasExample.m
stats/HistogramBarsColoredAccordingToHeightExample.m
stats/HistogramWithSemiTransparentBarsExample.m
stats/HistogramforaGivenNumberofBinsExample.m
stats/HistogramwithaKernelSmoothingFunctionFitExample.m
stats/HistogramwithaNormalDistributionFitExample.m
stats/HistogramwithaSpecifiedDistributionFitExample.m
stats/HypothesisTestforFixedEffectsCoefficientsExample.m
stats/HypothesisTestingExample.m
stats/HypothesisTestsforFixedandRandomEffectsCoefficientsExample.m
stats/IdentifySignificantEffectsWithHalfNormalProbabilityPlotExample.m
stats/IllustrateLinearDiscriminantAnalysisExample.m
stats/ImpactofSpecifyingInitialKernelParameterValuesExample.m
stats/IncludeTiesInANearestNeighborsSearchExample.m
stats/InspectBinaryLeanersPropertiesOfECOCClassifiersExample.m
stats/InspectTheResubstitutionLossOfATrainedBoostingEnsembleExample.m
stats/InteractionPlotforLinearRegressionModelExample.m
stats/IntroductionToClassicalMultidimensionalScalingExample.m
stats/InversePredictionExample.m
stats/JackknifeResamplingExample.m
stats/KMeansClusteringExample.m
stats/KNNClassificationPredictionsExample.m
stats/KNNTemplateforNondefaultOptionsExample.m
stats/KernelDistributionParametersExample.m
stats/LPBoostAndTotalBoostForSmallEnsemblesExample.m
stats/LabelTestSampleObservationsOfNaiveBayesClassifiersExample.m
stats/LabelTestSampleObservationsOfSVMClassifiersExample.m
stats/LabelTrainingSampleObservationsForNaiveBayesExample.m
stats/LabelTrainingSampleObservationsForSVMClassifiersUsingPreExample.m
stats/LassoPlotWithCrossValidatedFitsExample.m
stats/LassoPlotWithDefaultPlotTypeExample.m
stats/LassoPlotWithLambdaPlotTypeExample.m
stats/LassoRegularizationExample.m
stats/LeveragePlotofLinearModelExample.m
stats/LinearModelUsingStepwiseRegressionExample.m
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stats/examples.xml
stats/fertilizer.mat
stats/flowrate.mat
stats/fsurfht.m
stats/generateCheckerBoardData.m
stats/gprdata.mat
stats/gprdata2.mat
stats/knnExampleVariablesEditor.png
stats/knnExampleWorkspaceWindow.png
stats/largedata4reg.mat
stats/lightbulb.mat
stats/makeanerror.m
stats/mysigmoid.m
stats/mysigmoid2.m
stats/mysvmfun.m
stats/mysvmminfn.m
stats/oobErrRF.m
stats/outputfun.m
stats/photo.JPG
stats/polytool.m
stats/predictDigitECOC.m
stats/radarReturnInput.mat
stats/randtool.m
stats/readmissiontimes.mat
stats/robotarm.mat
stats/robustdemo.m
stats/rosenbrocks.m
stats/rsmdemo.m
stats/shift.mat
stats/slexSVMIonospherePredictExample.slx
stats/svmIonospherePredict.m
stats/svmsuppvec.m
stats/weight.mat