出版日期:2003年11月
ISBN:9787506265836
[十位:7506265834]
页数:679
定价:¥79.00
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《应用概率论(英文版)》图书目录:
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