随机过程高级教程:A Second Course in Stochastic Processes (图灵原版数学·统计学系列)
一版一印
¥
220
九品
仅1件
作者[美]卡林(Karlin S.) 著
出版社人民邮电出版社
出版时间2009-01
版次1
装帧平装
货号8-4
上书时间2024-10-09
商品详情
- 品相描述:九品
-
无字迹勾画
图书标准信息
-
作者
[美]卡林(Karlin S.) 著
-
出版社
人民邮电出版社
-
出版时间
2009-01
-
版次
1
-
ISBN
9787115191816
-
定价
89.00元
-
装帧
平装
-
开本
16开
-
纸张
胶版纸
-
页数
542页
-
字数
504千字
-
正文语种
英语
-
丛书
图灵原版数学·统计学系列
- 【内容简介】
-
本书是人民邮电出版社影印和翻译出版的《随机过程初级教程》的姊妹篇,内容包括马尔可夫链的代数方法、转移概率的比定理及应用、连续时间马尔可夫链、扩散过程、复合随机过程、独立同分布随机变理部分和波动理论、排队过程等很多主题。本书将理论与应用有机地结合在一起,取得了完美的平衡。
本书适用而广,可供数学、物理学、生物学、社会学、管理学和其他工程领域的理论研究者和实践者学习。
- 【作者简介】
-
SamuelKarlin,斯坦福大学荣休教授,国际著名的应用概率学家,美国科学院院士,数理统计学会会士。1987年获冯·诺伊曼奖。在生灭过程中计算平稳分布的Karlin-McGregor定理即以他的名字命名。
HowardM.Taylor,康奈尔大学荣休教授,国际著名的应用概率学家。
- 【目录】
-
Chapter10 ALGEBRAICMETHODSINMARKOVCHAINS
1.Preliminaria
2.RelationsofEigenvaluesandRecurrenceClaum
3.PeriodicClasses
4.SpecialComputationalMethodsinMarkovChains
5.Examples
6.ApplicationstoCoinTomin
ElementaryProblems
Problermt
Nores
References
Chapter11RATIOTHEoREMSoFTRANSITl0NPROBABILITIESANDAPPLICATl0NS
1.TabooProbabilities
2.RatioTheorems
3.ExistenceofGeneralizedStationaryDistributions
4.InterpretationofGeneralizedStationaryDistributions
5.Regular,Superregular,andSubregularSequencesfor MarkovChains
6.StoppingRuleProblems
ElementaryProblems
Problems
Notes
References
Chapter12 SUMSOFINDEPENDENTRANDOMVARIABLESASAMARKOVCHAIN
1.RecurrencePropertiesofSumsofIndependentRandomVariables
2.LocalLimitTheorems
3.RightRegularSequencesfortheMarkovChain
4.TheDiscreteRenewalTheorem
ElementaryProblems
Problems
Notes
References
Chapter13 ORDERSTATISTICS,POISSONPROCESSES,AND
APPLICATIONS
1.OrderStatisticsandTheirRelationtoPoissonProcesses
2.TheBallotProblem
3.EmpiricalDistributionFunctions
4.SomeLimitDistributionsforEmpiricalDistributionFunctions
ElementaryProblems
Problems
Notes
References
Chapter14CONTINUOUSTIMEMARKOVCHAINS
1.DifferentiabilityPropertiesofTransitionProbabilities
2.ConservativeProcessesandtheForwardandBackwardDifferentialEquations
3.ConstructionofaContinuousTimeMarkovChainfromItsInfinitesimalParameters
4.StrongMarkovProperty
Problems
Notes
References
Chapter15DIFFUSIONPROCESSES..
1.GeneralDescription
2.ExamplesofDiffusion
3.DifferentialEquationsAssociatedwithCertainFunctionals
4.SomeConcreteCasesoftheFunctionalCalculations
5.TheNatureofBackwardandForwardEquationsandCalculationofStationaryMeasures
6.BoundaryClassificationforRegularDiffusionProcesses
7.SomeFurtherCharacterizationofBoundaryBehavior
8.SomeConstructionsofBoundaryBehaviorofDiffusionProcesses
9.ConditionedDiffusionProcesses
10.SomeNaturalDiffusionModelswithKilling
11.SemigroupFormulationofContinuousTimeMarkovProcesses
12.FurtherTopicsintheSemigroupTheoryofMarkovProcessesandApplicationstoDiffusions
13.TheSpectralRepresentationoftheTransitionDensityforaDiffusion
14.TheConceptofStochasticDifferentialEquations
15.SomeStochasticDifferentialEquationModels
16.APreviewofStochasticDifferentialEquationsandStochasticIntegrals
ElementaryProblems
Problems
Notes
References
Chapter16COMPOUNDINGSTOCHASTICPROCESSES
1.MultidimensionalHomogeneousPoissonProcesses
2.AnApplicationofMultidimensionalPoissonProcessestoAstronomy
3.ImmigrationandPopulationGrowth
4.StochasticModelsofMutationandGrowth
5.One-DimensionalGeometricPopulationGrowth
6.StochasticPopulationGrowthModelinSpaceandTime
7.DeterministicPopulationGrowthwithAgeDistribution
8.ADiscreteAgingModel
9.CompoundPoissonProcesses
ElementaryProblems
Problems
Notes
References
Chapter17FLUCTUATIONTHEORYOFPARTIALSUMSOFINDEPENDENTIDENTICALLYDISTRIBUTEDRANDOMVARIABLES
1.TheStochasticProcessofPartialSums
2.AnEquivalencePrinciple
3.SomeFundamentalIdentitiesofFluctuationTheoryandDirectApplications
4.TheImportantConceptofLadderRandomVariables
5.ProofoftheMainFluctuationTheoryIdentities
6.MoreApplicationsofFluctuationTheory
Problems
Notes
References
Chapter18QUEUEINGPROCESSES
1.GeneralDescription
2.TheSimplestQueueingProcesses(M/M/l)
3.SomeGeneralOne-ServerQueueingModels
4.EmbeddedMarkovChainMethodAppliedtotheQueueingModel(M/GI/l)
5.ExponentialServiceTimes(G/M/1)
6.GammaAmvalDtstnbutlonandGeneralizations(Ek/M/1)
7.ExponentialServicewithsServers(GI/M/s)
8.TheVirtualWaitingTimeandtheBusyPeriod
Problems
Notes
References
MISCELLANEOUSPROBLEMS
Index
点击展开
点击收起
— 没有更多了 —
以下为对购买帮助不大的评价