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应用概率论(英文版)
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应用概率论(英文版)

  • 作者:P.E.Pfeiffer
  • 出版社:世界图书出版社
  • ISBN:9787506265836
  • 出版日期:2003年11月01日
  • 页数:679
  • 定价:¥79.00
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    目录
    Preface
    I BasicProbability
    1 TrialsandEvents
    1.1 Trials,Outcomes,andEvents
    1.2 CombinationsofEventsandSpecialEvents
    1.3 IndicatorFunctionsandCombinationsofEvents
    1.4 Classes,Partitions,andBooleanCombinations
    2 ProbabilitySystems
    2.1 ProbabilityMeasures
    2.2 SomeElementaryProperties
    2.3 InterpretationandDeterminationofProbabilities
    2.4 MintermMapsandBooleanCombinations
    2a TheSigmaAlgebraofEvents
    3 ConditionalProbability
    3.1 ConditioningandtheReassignmentofLikelihoods
    3.2 PropertiesofConditionalProbability
    3.3 RepeatedConditioning
    4 IndependenceofEvents
    4.1 IndependenceasaLackofConditioning
    4.2 IndependentClasses
    5 ConditionalIndependenceofEvents
    5.1 OperationalIndependenceandaCommonCondition
    5.2 EquivalentConditionsandDefinition
    5.3 SomeProblemsinProbableInference
    5.4 ClassificationProblems
    6 CompositeTrials
    6.1 EventsandComponentEvents
    6.2 MultipleSuccess-FailureTrials
    6.3 BernoulliTrials
    II RandomVariablesandDistributions
    7 RandomVariablesandProbabilities
    7.1 RandomVariablesasFunctions--MappingConcepts
    7.2 MassTransferandProbabilityDistributions
    7.3 SimpleRandomVariables
    7a BorelSets,RandomVariables,andBorelFunctions
    8 DistributionandDensityFunctions
    8.1 TheDistributionFunction
    8.2 SomeDiscreteDistributions
    8.3 AbsolutelyContinuousRandomVariablesandDensityFunc-tions
    8.4 SomeAbsolutelyContinuousDistributions
    8.5 TheNormalDistribution
    8.6 LifeDistributionsinReliabilityTheory
    9 RandomVectorsandJointDistributions
    9.1 TheJointDistributionDeterminedbyaRandomVector
    9.2 TheJointDistributionFunctionandMarginalDistributions
    9.3 JointDensityFunctions
    10 IndependenceofRandomVectors
    10.1 IndependenceofRandomVectors
    10.2 SimpleRandomVariables
    10.3 JointDensityFunctionsandIndependence
    11 FunctionsofRandomVariables
    11.1 AFundamentalApproachandsomeExamples
    11.2 FunctionsofMoreThanOneRandomVariable
    11.3 FunctionsofIndependentRandomVariables
    11.4 TheQuantileFunction
    11.5 CoordinateTransformations
    11a SomePropertiesoftheQuantileFunction
    III MathematicalExpectation
    12 MathematicalExpectation
    ……
    13 ExpectationandIntegrals
    14 PropertiesofExpectation
    15 VarianceandStandardDeviation
    16 Covariance,Correlation,andLinearRegression
    17 ConvergenceinProbabilityTheory
    18 TransformMethods
    19 ConditionalExpectation,GivenaRandomVector
    20 RandomSelectionandCountingProcesses
    21 PoissonProcesses
    21a
    22 ConditionalIndependence,GivenaRandomVector
    23 MarkovSequences
    23a SomeTheoreticalDetails
    A SomeMathematicalAids
    B SomeBasicCountingProblems
    Index

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