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Examples and Problems in Mathematical Statistics PDF

654 Pages·2014·2.882 MB·English
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Examples and Problems in Mathematical Statistics Shelemyahu Zacks Examples and Problems in Mathematical Statistics WILEYSERIESINPROBABILITYANDSTATISTICS EstablishedbyWALTERA.SHEWHARTandSAMUELS.WILKS Editors:DavidJ.Balding,NoelA.C.Cressie,GarrettM.Fitzmaurice, HarveyGoldstein,IainM.Johnstone,GeertMolenberghs,DavidW.Scott, AdrianF.M.Smith,RueyS.Tsay,SanfordWeisberg EditorsEmeriti:VicBarnett,J.StuartHunter,JosephB.Kadane,JozefL.Teugels Acompletelistofthetitlesinthisseriesappearsattheendofthisvolume. Examples and Problems in Mathematical Statistics SHELEMYAHUZACKS DepartmentofMathematicalSciences BinghamtonUniversity Binghamton,NY Copyright©2014byJohnWiley&Sons,Inc.Allrightsreserved. PublishedbyJohnWiley&Sons,Inc.,Hoboken,NewJersey. PublishedsimultaneouslyinCanada. Nopartofthispublicationmaybereproduced,storedinaretrievalsystem,ortransmittedinanyformor byanymeans,electronic,mechanical,photocopying,recording,scanning,orotherwise,exceptas permittedunderSection107or108ofthe1976UnitedStatesCopyrightAct,withouteithertheprior writtenpermissionofthePublisher,orauthorizationthroughpaymentoftheappropriateper-copyfeeto theCopyrightClearanceCenter,Inc.,222RosewoodDrive,Danvers,MA01923,(978)750-8400, fax(978)750-4470,oronthewebatwww.copyright.com.RequeststothePublisherforpermission shouldbeaddressedtothePermissionsDepartment,JohnWiley&Sons,Inc.,111RiverStreet,Hoboken, NJ07030,(201)748-6011,fax(201)748-6008,oronlineathttp://www.wiley.com/go/permission. LimitofLiability/DisclaimerofWarranty:Whilethepublisherandauthorhaveusedtheirbesteffortsin preparingthisbook,theymakenorepresentationsorwarrantieswithrespecttotheaccuracyor completenessofthecontentsofthisbookandspecificallydisclaimanyimpliedwarrantiesof merchantabilityorfitnessforaparticularpurpose.Nowarrantymaybecreatedorextendedbysales representativesorwrittensalesmaterials.Theadviceandstrategiescontainedhereinmaynotbesuitable foryoursituation.Youshouldconsultwithaprofessionalwhereappropriate.Neitherthepublishernor authorshallbeliableforanylossofprofitoranyothercommercialdamages,includingbutnotlimitedto special,incidental,consequential,orotherdamages. Forgeneralinformationonourotherproductsandservicesorfortechnicalsupport,pleasecontactour CustomerCareDepartmentwithintheUnitedStatesat(800)762-2974,outsidetheUnitedStatesat (317)572-3993orfax(317)572-4002. Wileyalsopublishesitsbooksinavarietyofelectronicformats.Somecontentthatappearsinprintmay notbeavailableinelectronicformats.FormoreinformationaboutWileyproducts,visitourwebsite atwww.wiley.com. LibraryofCongressCataloging-in-PublicationData: Zacks,Shelemyahu,1932-author. Examplesandproblemsinmathematicalstatistics/ShelemyahuZacks. pagescm Summary:“Thisbookpresentsexamplesthatillustratethetheoryofmathematicalstatisticsanddetails howtoapplythemethodsforsolvingproblems”–Providedbypublisher. Includesbibliographicalreferencesandindex. ISBN978-1-118-60550-9(hardback) 1.Mathematicalstatistics–Problems,exercises,etc. I.Title. QC32.Z2652013 519.5–dc23 2013034492 PrintedintheUnitedStatesofAmerica ISBN:9781118605509 10 9 8 7 6 5 4 3 2 1 TomywifeHanna, oursonsYuvalandDavid, andtheirfamilies,withlove. Contents Preface xv ListofRandomVariables xvii ListofAbbreviations xix 1 BasicProbabilityTheory 1 PARTI:THEORY, 1 1.1 OperationsonSets, 1 1.2 Algebraandσ-Fields, 2 1.3 ProbabilitySpaces, 4 1.4 ConditionalProbabilitiesandIndependence, 6 1.5 RandomVariablesandTheirDistributions, 8 1.6 TheLebesgueandStieltjesIntegrals, 12 1.6.1 GeneralDefinitionofExpectedValue:TheLebesgueIntegral, 12 1.6.2 TheStieltjes–RiemannIntegral, 17 1.6.3 MixturesofDiscreteandAbsolutelyContinuousDistributions, 19 1.6.4 QuantilesofDistributions, 19 1.6.5 Transformations, 20 1.7 JointDistributions,ConditionalDistributionsandIndependence, 21 1.7.1 JointDistributions, 21 1.7.2 ConditionalExpectations:GeneralDefinition, 23 1.7.3 Independence, 26 1.8 MomentsandRelatedFunctionals, 26 1.9 ModesofConvergence, 35 1.10 WeakConvergence, 39 1.11 LawsofLargeNumbers, 41 vii viii CONTENTS 1.11.1 TheWeakLawofLargeNumbers(WLLN), 41 1.11.2 TheStrongLawofLargeNumbers(SLLN), 42 1.12 CentralLimitTheorem, 44 1.13 MiscellaneousResults, 47 1.13.1 LawoftheIteratedLogarithm, 48 1.13.2 UniformIntegrability, 48 1.13.3 Inequalities, 52 1.13.4 TheDeltaMethod, 53 1.13.5 TheSymbolso and O , 55 p p 1.13.6 TheEmpiricalDistributionandSampleQuantiles, 55 PARTII:EXAMPLES, 56 PARTIII:PROBLEMS, 73 PARTIV:SOLUTIONSTOSELECTEDPROBLEMS, 93 2 StatisticalDistributions 106 PARTI:THEORY, 106 2.1 IntroductoryRemarks, 106 2.2 FamiliesofDiscreteDistributions, 106 2.2.1 BinomialDistributions, 106 2.2.2 HypergeometricDistributions, 107 2.2.3 PoissonDistributions, 108 2.2.4 Geometric,Pascal,andNegativeBinomialDistributions, 108 2.3 SomeFamiliesofContinuousDistributions, 109 2.3.1 RectangularDistributions, 109 2.3.2 BetaDistributions, 111 2.3.3 GammaDistributions, 111 2.3.4 WeibullandExtremeValueDistributions, 112 2.3.5 NormalDistributions, 113 2.3.6 NormalApproximations, 114 2.4 Transformations, 118 2.4.1 One-to-OneTransformationsofSeveralVariables, 118 2.4.2 DistributionofSums, 118 2.4.3 DistributionofRatios, 118 2.5 VariancesandCovariancesofSampleMoments, 120 2.6 DiscreteMultivariateDistributions, 122 2.6.1 TheMultinomialDistribution, 122 2.6.2 MultivariateNegativeBinomial, 123 2.6.3 MultivariateHypergeometricDistributions, 124

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