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剑桥概率和统计：自助法及其应用

[瑞士]戴维森著 / 世界图书出版公司 / 2010-04 / 平装

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图书 > 计算机与互联网
剑桥概率和统计：自助法及其应用
作者: [瑞士] 戴维森著

出版社: 世界图书出版公司

出版时间: 2010-04

版次: 1

ISBN: 9787510005510

定价: 89.00

装帧: 平装

开本: 16开

纸张: 胶版纸

页数: 582页

正文语种: 英语
内容简介：

　　Wedecidedtotrytowriteabalancedaccountofresamplingmethods，toincludebasicaspectsofthetheorywhichunderpinnedthemethods，andtoshowasmanyapplicationsaswecouldinordertoillustratethefunpotentialofthemethods-wartsandalLWequicklyrealizedthatinorderforuSandotherstounderstandandusethebootstrap，wewouldneedsuitablesoftware，andproducingitledusfurthertowardsapracticallyorientedtreatment.0urviewwascementedbytwofurtherdevelopments：theappearanceoftwoexcellentbooks，onebvPIeterHallontheasymptotictheoryandtheotheronbasicmethodsbvBradleyEfronandRobertTibshirani；andthechancetogivefurthercoursesthatincludedpracticals.Ourexperiencehasbeenthathands-oncomputingisessentialincomingtogripswithresamplingideas，sowehaveincludedpracticalsinthisbooLaswellasmoretheoreticalproblems.

目录：

Preface
1Introduction
2TheBasicBootstraps
2．1Introduction
2．2ParametricSimulation
2．3NonparametricSimulation
2．4SimpleContidenceIntervais
2．5RedudngError
2．6StatisticalIssues
2．7NonparametricApproximationsforVarianceandBias
2．8SubsamplingMethods
2．9BibliographicNotes
2．10Problems
2．11Practicals

3FurtherIdess
3．1Introduction
3．2SeveralSamples
3．3SereiparametricModels
3．4SmoothEstimatesofF
3．5Censoring
3．6MissingData
3．7FinitePopulationSampling
3．8HierarchicalData
3．9BootstrappingtheBootstrap
3．10BootstrapDiagnostics
3．11ChoiceofEstimatorfromtheData
3．12BibliographicNotes
3．13Problems
3．14Practicals

4Tests
4．1Introduction
4．2ResampfingforParametricTEsts
4．3NonparametricPermutafionTests
4．4NonparametricBootstrapTests
4．5AdjustedP-valnes
4．6EstimatingPropertiesofTests
4．7BibliographicNotes
4．8Problems
4．9Practicals

5Confidencelatervals
5．1Introduction
5．2BasicConfideneeLimitMethods
5．3PercentileMethods
5．4TheoroticalComparisonofMethods
5．5InversionofSignificanceTcsts
5．6DoublcBootstrapMethods
5．7EmpiricalComparisonofBoot~rapMethod
5．8MultiparameterMethods
5．9ConditionalConfidenceRegions
5．10Prediction
5．11BibliographicNotes
5．12problems
5．13Practicals

6LiaearRegression
6．1Introduction
6．2LeastSquaresLinearRegression
6．3MultipleLinearRegression
6．4AggregatePredictionErrorandVariableSelection
6．5RobustRegression
6．6BibliographicNotes
6．7Problems
6．8Pracdcals

7FartherTopicsinRegression
7．1Introduction
7．2GeneralizedLinearModds
7．3SurvivalData
7．4OtherNonlinearModels
7．5MisclassifieationError
7．6NonparametricRegression
7．7BibliographicNotes
7．8Problems
7．9Practicals

8ComplexDependence
8．1Introduction
8．2TimeSeries
8．3PointProcesses
8．4BibliographicNotes
8．5Problems
8．6Practicals

9ImprovedCalculation
9．1Introduction
9．2BalancedBootaraps
9．3ControIMethods
9．4ImportanceResanling
9．5SaddlepointApproximation
9．6BibliographicNotes
9．7Problems
9．8Practicals

10SemiparametrieLikelihoodInference
10．1LiIcelihood
10．2Multinoimal-BasedLikelihoods
10．3BootstrapLikelihood
10．4LikelihoodBasedonConfidenceSets
10．5BayesianBootstraps
10．6BibfiographicNotes
10．7Problems
10．8Practicals

12ComputerImplementation
11．1Introduction
11．2BasicBootstraps
11．3FurtherIdeas
11．4Tests
11．5ConfidenceIntervals
11．6LinearRegression
11．7FurtherTopicsinRegression
11．8TimeSeries
11．9ImprovedSimulation
11．10SemiparametricLikelihoods

AppendixA．CumulaatCalcalatioas
Bibliography
NameIndex
Exampleindex
Subjectindex

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