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概率論基礎(chǔ)教程(英文版·第8版)

概率論基礎(chǔ)教程(英文版·第8版)

定 價:¥69.00

作 者: (美)羅斯 著
出版社: 人民郵電出版社
叢編項: 圖靈原版數(shù)學·統(tǒng)計學系列
標 簽: 概率論與數(shù)理統(tǒng)計

ISBN: 9787115209542 出版時間: 2009-07-01 包裝: 平裝
開本: 16開 頁數(shù): 530 字數(shù):  

內(nèi)容簡介

  《概率論基礎(chǔ)教程(英文版·第8版)》是世界各國高校廣泛采用的概率論教材,通過大量的例子講述了概率論的基礎(chǔ)知識,主要內(nèi)容有組合分析、概率論公理化、條件概率和獨立性、離散和連續(xù)型隨機變量、隨機變量的聯(lián)合分布、期望的性質(zhì)、極限定理等?!陡怕收摶A(chǔ)教程(英文版·第8版)》附有大量的練習,分為習題、理論習題和自檢習題三大類,其中自檢習題部分還給出全部解答?!陡怕收摶A(chǔ)教程(英文版·第8版)》適用于大專院校數(shù)學、統(tǒng)計、工程和相關(guān)專業(yè)(包括計算科學、生物、社會科學和管理科學)的學生閱讀,也可供各學科專業(yè)科技人員參考。

作者簡介

  羅斯,Sheldon M. Ross國際知名概率與統(tǒng)計學家,南加州大學工業(yè)工程與運籌系系主任。畢業(yè)于斯坦福大學統(tǒng)計系,曾在加州大學伯克利分校任教多年。研究領(lǐng)域包括:隨機模型.仿真模擬、統(tǒng)計分析、金融數(shù)學等:Ross教授著述頗豐,他的多種暢銷數(shù)學和統(tǒng)計教材均產(chǎn)生了世界性的影響,如Introduction to Probability Models(《應(yīng)用隨機過程:概率模型導論》),A First Course in Probability(《概率論墓礎(chǔ)教程》)等(均由人民郵電出版社出版)。

圖書目錄

1 CombinatorialAnalysis
1.1 Introduction
1.2 TheBasicPrincipleofCounting
1.3 Permutations
1.4 Combinations
1.5 MultinomialCoefficients
1.6 TheNumberofIntegerSolutlonsofEquations
Summary
Problems
TheoreticalExercises
Self-TestProblemsandExercises
2 AxiomsofProbability
2.1 Introduction
2.2 SampleSpaceandEvents
2.3 AxiomsofProbability
2.4 SomeSimplePropositions
2.5 SampleSpaceHavingEquallyLikelyOutcomes 33
2.6 ProbabilityasaContinuousSetFunction
2.7 ProbabilityasaMeasureofBelief
Summary
Problems
TheoreticalExercises
Self-TestProblemsandExercises
3 ConditionalProbabilityandIndependence
3.1 Introduction
3.2 ConditionalProbabilities
3.3 BayessFormula
3.4 IndependentEvents
3.5 P(·|F)IsaProbability
Summary
Problems
TheoreticalExercises
Self-TestProblemsandExercises
4 RandomVariables
4.1 RandomVariables
4.2 DiscreteRandomVariables
4.3 ExpectedValue
4.4 ExpectationofaFunctionofaRandomVariable
4.5 Variance
4.6 TheBernoulhandBinomialRandomVariables
4.6.1 PropertiesofBinomialRandomVariables
4.6.2 ComputingtheBinomialDistributionFunction
4.7 ThePoissonRandomVariable
4.7.1 ComputingthePoissonDistributionFunction
4.8 OtherDiscreteProbabilityDistributions
4.8.1 TheGeometricRandomVariable
4.8.2 TheNegativeBinomialRandomVariable
4.8.3 TheHypergeometricRandomVariable
4.8.4 TheZeta(orZipf)Distribution
4.9 ExpectedValueofSumsofRandomVariables
4.10 PropertiesoftheCumulativeDistributionFunction
Summary
Problems
TheoreticalExercises
Self-TestProblemsandExercises
5 ContinuousRandomVariables
51 Introduction
5.2 ExpectationandVarianceofContinuousRandomVariables
5.3 TheUniformRandomVariable
5.4 NormalRandomVariables
5.4.1 TheNormalApproximationtotheBinomialDistribution
5.5 ExponentialRandomVariables
5.5.1 HazardRateFunctions
5.6 OtherContinuousDistributions
5.6.1 TheGammaDlstrlbutlon
5.6.2 TheWeibullDlStrlbutlon
5.6.3 TheCauchyDistribution
5.6.4 TheBetaDlStrlbutlon
5.7 TheDistributionofaFunctionofaRandomVariable
Summary
Problems
TheoreticalExercises
Self-TestProblemsandExercises
6 JointlyDistributedRandomVariables
6.1 JointDistributionFunctions
6.2 IndependentRandomVariables
6.3 SumsofIndependentRandomVariables
6.3.1 IdenticallyDistributedUniformRandomVariables
6.3.2 GammaRandomVariables
6.3.3 NormalRandomVariables
6.3.4 PolssonandBinomialRandomVariables
635 GeometricRandomVariables
6.4 ConditionalDistribution:DiscreteCase
6.5 ConditionalDistribution:ContinuousCase
66 OrderStatistics
6.7 JointProbabilityDistributionofFunctionsofRandomVariables
6.8 ExciaanzeaoleRandomVariables
Summary
Problems
TheoreticalExercises
SelfTestProblemsandExercises
7 PropertiesofExpectation
7.1 Introduction
7.2 ExpectationofSumsofRandomVariablviatheProbabilisticMethod
7.2.2 TheMaximum-MinimumsIdentity
7.3 MomentsoftheNumberofEventsthatOccur
7.4 Covariance,VarianceofSums,andCorrelations
7.5 ConditionalExpectation
7.5.1 Definitions
7.5.2 ComputingExpectationsbyConditioning
7.5.3 ComputingProbabilitiesbyConditioning
7.5.4 ConditionalVariance
7.6 ConditionalExpectationandPrediction
7.7 MomentGeneratingFunctions
7.7.1 JointMomentGeneratingFunctions
7.8 AddltlonaproprietariesofNormalRandomVariables
7.8.1 TheMultivariateNormalDlstrlbution
7.8.2 TheJointDistributionoftheSampleMeanandSampleVariance
7.9 GeneralDefinitionofExpectation
Summary
Problems
TheoreticalExercises
Self-TestProblemsandExercises
8 LimitTheorems
8.1 Introduction
8.2 ChebyshevsInequalityandtheWeakLawofLargeNumbers
8.3 TheCentralLimitTheorem
8.4 TheStrongLawofLargeNumbers
8.5 OtherInequamles
8.6 BoundingtheErrorProbabilityWhenApproximatingaSumofIndependentBernoulliRandomVariablesbyaPoissonRandomVariable
Summary
Problems
TheoreticalExercises
Self-TestProblemsandExercises
9 AdditionalTopicsinProbability
9.1 ThePoissonProcess
9.2 MarkovChains
9.3 Surprise,Uncertainty,andEntropy
9.4 CodingTheoryandEntropy
Summary
ProblemsandTheoreticalExercises
Self-TestProblemsandExercises
References
10 Simulation
10.1 Introduction
10.2 GeneralTechniquesforSimulatingContinuousRandomVariables
10.2.1 TheInverseTransformationMethod
10.2.2 TheRejectionMethod
10.3 SimulatingfromDiscreteDistributions
10.4 VarianceReductionTechniques
10.4.1 UseofAntitheticVariables
10.4.2 VarianceReductionbyConditioning
10.4.3 ControlVariates
Summary
Problems
Self-TestProblemsandExercises
Reference
AnswerstoSelectedProblems
SolutionstoSelf-TestProblemsandExercises
Index

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