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Fundamentals of Probability, with Stochastic Processes, 3rd Edition PDF

673 Pages·2005·4.92 MB·English
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THIRD EDITION FUNDAMENTALS OF PROBABILITY WITH STOCHASTIC PROCESSES SAEED GHAHRAMANI Western New England College UpperSaddleRiver,NewJersey07458 LibraryofCongressCataloging-in-PublicationData Ghahramani,Saeed. Fundamentalsofprobabilitywithstochasticprocesses/SaeedGhahramani.—3rdedition. p. cm. IncludesIndex. ISBN: 0-13-145340-8 1. Probabilities. I.Title. QA273.G4642005 519.2—dc22 2004048541 ExecutiveEditor: GeorgeLobell Editor-in-Chief: Sally Yagan ProductionEditor: JeanneAudino AssistantManagingEditor: BayaniMendozaDeLeon SeniorManagingEditor: LindaMihatovBehrens ExecutiveManagingEditor: KathleenSchiaparelli Vice-President/DirectorofProductionandManufacturing: DavidW.Riccardi AssistantManufacturingManager/Buyer: MichaelBell ManufacturingManager: TrudyPisciotti MarketingManager: HaleeDinsey MarketingAssistant: RachelBeckman ArtDirector: JayneConte CoverDesigner: BruceKenselaar CoverImageSpecialist: RitaWenning CoverPhoto: PhotoLibrary.com BackCoverPhoto: BenjaminShear/Taxi/GettyImages,Inc. Compositor: SaeedGhahramani Composition: -LATEX AMS ©2005,2000,1996byPearsonEducation,Inc. PearsonPrenticeHall PearsonEducation,Inc. UpperSaddleRiver, NJ 07458 Allrightsreserved. Nopartofthisbookmaybereproduced,inanyform orbyanymeans,withoutpermissioninwritingfromthepublisher. PearsonPrenticeHall®isatrademarkofPearsonEducation,Inc. Printed in the United States of America 10 9 8 7 6 5 4 3 2 1 ISBN 0-13-145340-8 PearsonEducationLTD.,London PearsonEducationofAustraliaPTY,Limited,Sydney PearsonEducationSingapore,Pte. Ltd. PearsonEducationNorthAsiaLtd,HongKong PearsonEducationCanada,Ltd.,Toronto PearsonEducacióndeMexico,S.A.deC.V. PearsonEducation–Japan,Tokyo PearsonEducationMalaysia,Pte. Ltd To Lili, Adam, and Andrew C ontents ! Preface xi ! 1 Axioms of Probability 1 1.1 Introduction 1 1.2 SampleSpaceandEvents 3 1.3 AxiomsofProbability 11 1.4 BasicTheorems 18 1.5 ContinuityofProbabilityFunction 27 1.6 Probabilities0and1 29 1.7 RandomSelectionofPointsfromIntervals 30 ReviewProblems 35 ! 2 Combinatorial Methods 38 2.1 Introduction 38 2.2 CountingPrinciple 38 NumberofSubsetsofaSet 42 TreeDiagrams 42 2.3 Permutations 47 2.4 Combinations 53 2.5 Stirling’sFormula 70 ReviewProblems 71 ! 3 Conditional Probability and Independence 75 3.1 ConditionalProbability 75 ReductionofSampleSpace 79 3.2 LawofMultiplication 85 3.3 LawofTotalProbability 88 3.4 Bayes’Formula 100 3.5 Independence 107 v vi Contents 3.6 ApplicationsofProbabilitytoGenetics 126 Hardy-WeinbergLaw 130 Sex-LinkedGenes 132 ReviewProblems 136 Distribution Functions and ! 4 139 Discrete RandomVariables 4.1 RandomVariables 139 4.2 DistributionFunctions 143 4.3 DiscreteRandomVariables 153 4.4 ExpectationsofDiscreteRandomVariables 159 4.5 VariancesandMomentsofDiscreteRandomVariables 175 Moments 181 4.6 StandardizedRandomVariables 184 ReviewProblems 185 ! 5 Special Discrete Distributions 188 5.1 BernoulliandBinomialRandomVariables 188 ExpectationsandVariancesofBinomialRandomVariables 194 5.2 PoissonRandomVariable 201 PoissonasanApproximationtoBinomial 201 PoissonProcess 206 5.3 OtherDiscreteRandomVariables 215 GeometricRandomVariable 215 NegativeBinomialRandomVariable 218 HypergeometricRandomVariable 220 ReviewProblems 228 ! 6 Continuous RandomVariables 231 6.1 ProbabilityDensityFunctions 231 6.2 DensityFunctionofaFunctionofaRandomVariable 240 6.3 ExpectationsandVariances 246 ExpectationsofContinuousRandomVariables 246 VariancesofContinuousRandomVariables 252 ReviewProblems 258 Contents vii ! 7 Special Continuous Distributions 261 7.1 UniformRandomVariable 261 7.2 NormalRandomVariable 267 CorrectionforContinuity 270 7.3 ExponentialRandomVariables 284 7.4 GammaDistribution 292 7.5 BetaDistribution 297 7.6 SurvivalAnalysisandHazardFunction 303 ReviewProblems 308 ! 8 Bivariate Distributions 311 8.1 JointDistributionofTwoRandomVariables 311 JointProbabilityMassFunctions 311 JointProbabilityDensityFunctions 315 8.2 IndependentRandomVariables 330 IndependenceofDiscreteRandomVariables 331 IndependenceofContinuousRandomVariables 334 8.3 ConditionalDistributions 343 ConditionalDistributions: DiscreteCase 343 ConditionalDistributions: ContinuousCase 349 8.4 TransformationsofTwoRandomVariables 356 ReviewProblems 365 ! 9 Multivariate Distributions 369 9.1 JointDistributionofn>2RandomVariables 369 JointProbabilityMassFunctions 369 JointProbabilityDensityFunctions 378 RandomSample 382 9.2 OrderStatistics 387 9.3 MultinomialDistributions 394 ReviewProblems 398 ! 10 More Expectations andVariances 400 10.1 ExpectedValuesofSumsofRandomVariables 400 PatternAppearance 407 10.2 Covariance 415 viii Contents 10.3 Correlation 429 10.4 ConditioningonRandomVariables 434 10.5 BivariateNormalDistribution 449 ReviewProblems 454 Sums of Independent Random ! 11 457 Variables and LimitTheorems 11.1 Moment-GeneratingFunctions 457 11.2 SumsofIndependentRandomVariables 468 11.3 MarkovandChebyshevInequalities 476 Chebyshev’sInequalityandSampleMean 480 11.4 LawsofLargeNumbers 486 ProportionversusDifferenceinCoinTossing 495 11.5 CentralLimitTheorem 498 ReviewProblems 507 ! 12 Stochastic Processes 511 12.1 Introduction 511 12.2 MoreonPoissonProcesses 512 WhatIsaQueuingSystem? 523 PASTA:PoissonArrivalsSeeTimeAverage 525 12.3 MarkovChains 528 ClassificationsofStatesofMarkovChains 538 AbsorptionProbability 549 Period 552 Steady-StateProbabilities 554 12.4 Continuous-TimeMarkovChains 566 Steady-StateProbabilities 572 BirthandDeathProcesses 576 12.5 BrownianMotion 586 FirstPassageTimeDistribution 593 TheMaximumofaBrownianMotion 594 TheZerosofBrownianMotion 594 BrownianMotionwithDrift 597 GeometricBrownianMotion 598 ReviewProblems 602 Contents ix ! 13 Simulation 606 13.1 Introduction 606 13.2 SimulationofCombinatorialProblems 610 13.3 SimulationofConditionalProbabilities 614 13.4 SimulationofRandomVariables 617 13.5 MonteCarloMethod 626 ! AppendixTables 630 ! Answers to Odd-Numbered Exercises 634 ! Index 645

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Presenting probability in a natural way, this book uses interesting, carefully selected instructive examples that explain the theory, definitions, theorems, and methodology. Fundamentals of Probability has been adopted by the American Actuarial Society as one of its main references for the mathemati
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