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Methods of Multivariate Analysis (Wiley Series in Probability and Statistics) PDF

740 Pages·2002·3.28 MB·English
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Methods of Multivariate Analysis Second Edition ALVINC.RENCHER BrighamYoungUniversity AJOHNWILEY&SONS,INC.PUBLICATION Methods of Multivariate Analysis Second Edition Methods of Multivariate Analysis Second Edition ALVINC.RENCHER BrighamYoungUniversity AJOHNWILEY&SONS,INC.PUBLICATION ∞ Thisbookisprintedonacid-freepaper. Copyright c 2002byJohnWiley&Sons,Inc.Allrightsreserved. (cid:1) PublishedsimultaneouslyinCanada. Nopartofthispublicationmaybereproduced,storedinaretrievalsystemortransmittedinanyform orbyanymeans,electronic,mechanical,photocopying,recording,scanningorotherwise,exceptas permittedunderSections107or108ofthe1976UnitedStatesCopyrightAct,withouteithertheprior writtenpermissionofthePublisher,orauthorizationthroughpaymentoftheappropriateper-copyfeeto theCopyrightClearanceCenter,222RosewoodDrive,Danvers,MA01923,(978)750-8400,fax(978) 750-4744.RequeststothePublisherforpermissionshouldbeaddressedtothePermissionsDepartment, JohnWiley&Sons,Inc.,605ThirdAvenue,NewYork,NY10158-0012,(212)850-6011,fax(212) 850-6008.E-Mail:[email protected]. Fororderingandcustomerservice,call1-800-CALL-WILEY. LibraryofCongressCataloging-in-PublicationData Rencher,AlvinC.,1934– Methodsofmultivariateanalysis/AlvinC.Rencher.—2nded. p. cm.—(Wileyseriesinprobabilityandmathematicalstatistics) “AWiley-Intersciencepublication.” Includesbibliographicalreferencesandindex. ISBN0-471-41889-7(cloth) 1. Multivariateanalysis. I. Title. II. Series. QA278.R452001 519.535—dc21 2001046735 ′ PrintedintheUnitedStatesofAmerica 10 9 8 7 6 5 4 3 2 1 Contents 1. Introduction 1 1.1 WhyMultivariateAnalysis?, 1 1.2 Prerequisites, 3 1.3 Objectives, 3 1.4 BasicTypesofDataandAnalysis, 3 2. MatrixAlgebra 5 2.1 Introduction, 5 2.2 NotationandBasicDefinitions, 5 2.2.1 Matrices,Vectors,andScalars, 5 2.2.2 EqualityofVectorsandMatrices, 7 2.2.3 TransposeandSymmetricMatrices, 7 2.2.4 SpecialMatrices, 8 2.3 Operations, 9 2.3.1 SummationandProductNotation, 9 2.3.2 AdditionofMatricesandVectors, 10 2.3.3 MultiplicationofMatricesandVectors, 11 2.4 PartitionedMatrices, 20 2.5 Rank, 22 2.6 Inverse, 23 2.7 PositiveDefiniteMatrices, 25 2.8 Determinants, 26 2.9 Trace, 30 2.10 OrthogonalVectorsandMatrices, 31 2.11 EigenvaluesandEigenvectors, 32 2.11.1 Definition, 32 2.11.2 I AandI A, 33 + − 2.11.3 tr(A)and A, 34 | | 2.11.4 PositiveDefiniteandSemidefiniteMatrices, 34 2.11.5 TheProductAB, 35 2.11.6 SymmetricMatrix, 35 v vi CONTENTS 2.11.7 SpectralDecomposition, 35 2.11.8 SquareRootMatrix, 36 2.11.9 SquareMatricesandInverseMatrices, 36 2.11.10 SingularValueDecomposition, 36 3. CharacterizingandDisplayingMultivariateData 43 3.1 MeanandVarianceofaUnivariateRandomVariable, 43 3.2 CovarianceandCorrelationofBivariateRandomVariables, 45 3.2.1 Covariance, 45 3.2.2 Correlation, 49 3.3 ScatterPlotsofBivariateSamples, 50 3.4 GraphicalDisplaysforMultivariateSamples, 52 3.5 MeanVectors, 53 3.6 CovarianceMatrices, 57 3.7 CorrelationMatrices, 60 3.8 MeanVectorsandCovarianceMatricesforSubsetsof Variables, 62 3.8.1 TwoSubsets, 62 3.8.2 ThreeorMoreSubsets, 64 3.9 LinearCombinationsofVariables, 66 3.9.1 SampleProperties, 66 3.9.2 PopulationProperties, 72 3.10 MeasuresofOverallVariability, 73 3.11 EstimationofMissingValues, 74 3.12 DistancebetweenVectors, 76 4. TheMultivariateNormalDistribution 82 4.1 MultivariateNormalDensityFunction, 82 4.1.1 UnivariateNormalDensity, 82 4.1.2 MultivariateNormalDensity, 83 4.1.3 GeneralizedPopulationVariance, 83 4.1.4 DiversityofApplicationsoftheMultivariateNormal, 85 4.2 PropertiesofMultivariateNormalRandomVariables, 85 4.3 EstimationintheMultivariateNormal, 90 4.3.1 MaximumLikelihoodEstimation, 90 4.3.2 DistributionofyandS, 91 4.4 AssessingMultivariateNormality, 92 4.4.1 InvestigatingUnivariateNormality, 92 4.4.2 InvestigatingMultivariateNormality, 96 CONTENTS vii 4.5 Outliers, 99 4.5.1 OutliersinUnivariateSamples, 100 4.5.2 OutliersinMultivariateSamples, 101 5. TestsonOneorTwoMeanVectors 112 5.1 MultivariateversusUnivariateTests, 112 5.2 Testson(cid:1)with(cid:2)Known, 113 5.2.1 ReviewofUnivariateTestfor H µ µ 0 0 : = withσ Known, 113 5.2.2 MultivariateTestfor H (cid:1) (cid:1) with(cid:2)Known, 114 0 0 : = 5.3 Testson(cid:1)When(cid:2)IsUnknown, 117 5.3.1 ReviewofUnivariatet-Testfor H µ µ withσ 0 0 : = Unknown, 117 5.3.2 Hotelling’sT2-Testfor H (cid:1) (cid:1) with(cid:2)Unknown, 117 0 0 : = 5.4 ComparingTwoMeanVectors, 121 5.4.1 ReviewofUnivariateTwo-Samplet-Test, 121 5.4.2 MultivariateTwo-SampleT2-Test, 122 5.4.3 LikelihoodRatioTests, 126 5.5 TestsonIndividualVariablesConditionalonRejectionof H by 0 theT2-Test, 126 5.6 ComputationofT2, 130 5.6.1 ObtainingT2fromaMANOVAProgram, 130 5.6.2 ObtainingT2fromMultipleRegression, 130 5.7 PairedObservationsTest, 132 5.7.1 UnivariateCase, 132 5.7.2 MultivariateCase, 134 5.8 TestforAdditionalInformation, 136 5.9 ProfileAnalysis, 139 5.9.1 One-SampleProfileAnalysis, 139 5.9.2 Two-SampleProfileAnalysis, 141 6. MultivariateAnalysisofVariance 156 6.1 One-WayModels, 156 6.1.1 UnivariateOne-WayAnalysisofVariance(ANOVA), 156 6.1.2 MultivariateOne-WayAnalysisofVarianceModel (MANOVA), 158 6.1.3 Wilks’TestStatistic, 161 6.1.4 Roy’sTest, 164 6.1.5 PillaiandLawley–HotellingTests, 166

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Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen.When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather tha
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