资源描述：
《Correlated Data Analysis Modeling, Analytics, and Applications 》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。
1、SpringerSeriesinStatisticsAdvisors:P.Bickel,P.Diggle,S.Fienberg,U.Gather,I.Olkin,S.ZegerSpringerSeriesinStatisticsAlho/Spencer:StatisticalDemographyandForecastingAndersen/Borgan/Gill/Keiding:StatisticalModelsBasedonCountingProcessesAtkinson/Riani:RobustDiagno
2、sticRegressionAnalysisAtkinson/Riani/Ceriloi:ExploringMultivariateDatawiththeForwardSearchBerger:StatisticalDecisionTheoryandBayesianAnalysis,2ndeditionBorg/Groenen:ModernMultidimensionalScaling:TheoryandApplications,2ndeditionBrockwell/Davis:TimeSeries:Theor
3、yandMethods,2ndeditionBucklew:IntroductiontoRareEventSimulationCappé/Moulines/Rydén:InferenceinHiddenMarkovModelsChan/Tong:Chaos:AStatisticalPerspectiveChen/Shao/Ibrahim:MonteCarloMethodsinBayesianComputationColes:AnIntroductiontoStatisticalModelingofExtremeV
4、aluesDevroye/Lugosi:CombinatorialMethodsinDensityEstimationDiggle/Ribeiro:Model-basedGeostatisticsDudoit/VanderLaan:MultipleTestingProcedureswithApplicationstoGenomicsEfromovich:NonparametricCurveEstimation:Methods,Theory,andApplicationsEggermont/LaRiccia:Max
5、imumPenalizedLikelihoodEstimation,VolumeI:DensityEstimationFahrmeir/Tutz:MultivariateStatisticalModelingBasedonGeneralizedLinearModels,2ndeditionFan/Yao:NonlinearTimeSeries:NonparametricandParametricMethodsFerraty/Vieu:NonparametricFunctionalDataAnalysis:Theo
6、ryandPracticeFerreira/Lee:MultiscaleModeling:ABayesianPerspectiveFienberg/Hoaglin:SelectedPapersofFrederickMostellerFrühwirth-Schnatter:FiniteMixtureandMarkovSwitchingModelsGhosh/Ramamoorthi:BayesianNonparametricsGlaz/Naus/Wallenstein:ScanStatisticsGood:Permu
7、tationTests:ParametricandBootstrapTestsofHypotheses,3rdeditionGouriéroux:ARCHModelsandFinancialApplicationsGu:SmoothingSplineANOVAModelsGyöfi/Kohler/Krzyźak/Walk:ADistribution-FreeTheoryofNonparametricRegressionHaberman:AdvancedStatistics,VolumeI:Descriptionof
8、PopulationsHall:TheBootstrapandEdgeworthExpansionHärdle:SmoothingTechniques:WithImplementationinSHarrell:RegressionModelingStrategies:WithApplicationstoLinearModels,LogisticRegression,and
