applied_regression_analysis.pdf

applied_regression_analysis.pdf

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时间:2019-07-18

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1、AppliedRegressionAnalysis:AResearchTool,SecondEditionJohnO.RawlingsSastryG.PantulaDavidA.DickeySpringerSpringerTextsinStatisticsAdvisors:GeorgeCasellaStephenFienbergIngramOlkinSpringerNewYorkBerlinHeidelbergBarcelonaHongKongLondonMilanParisSingaporeTokyoSpringerTe

2、xtsinStatisticsAlfred:ElementsofStatisticsfortheLifeandSocialSciencesBerger:AnIntroductiontoProbabilityandStochasticProcessesBilodeauandBrenner:TheoryofMultivariateStatisticsBlom:ProbabilityandStatistics:TheoryandApplicationsBrockwellandDavis:AnIntroductiontoTimes

3、SeriesandForecastingChowandTeicher:ProbabilityTheory:Independence,Interchangeability,Martingales,ThirdEditionChristensen:PlaneAnswerstoComplexQuestions:TheTheoryofLinearModels,SecondEditionChristensen:LinearModelsforMultivariate,TimeSeries,andSpatialDataChristense

4、n:Log-LinearModelsandLogisticRegression,SecondEditionCreighton:AFirstCourseinProbabilityModelsandStatisticalInferenceDeanandVoss:DesignandAnalysisofExperimentsduToit,Steyn,andStumpf:GraphicalExploratoryDataAnalysisDurrett:EssentialsofStochasticProcessesEdwards:Int

5、roductiontoGraphicalModelling,SecondEditionFinkelsteinandLevin:StatisticsforLawyersFlury:AFirstCourseinMultivariateStatisticsJobson:AppliedMultivariateDataAnalysis,VolumeI:RegressionandExperimentalDesignJobson:AppliedMultivariateDataAnalysis,VolumeII:Categoricalan

6、dMultivariateMethodsKalbfleisch:ProbabilityandStatisticalInference,VolumeI:Probability,SecondEditionKalbfleisch:ProbabilityandStatisticalInference,VolumeII:StatisticalInference,SecondEditionKarr:ProbabilityKeyfitz:AppliedMathematicalDemography,SecondEditionKiefer:

7、IntroductiontoStatisticalInferenceKokoskaandNevison:StatisticalTablesandFormulaeKulkarni:Modeling,Analysis,Design,andControlofStochasticSystemsLehmann:ElementsofLarge-SampleTheoryLehmann:TestingStatisticalHypotheses,SecondEditionLehmannandCasella:TheoryofPointEsti

8、mation,SecondEditionLindman:AnalysisofVarianceinExperimentalDesignLindsey:ApplyingGeneralizedLinearModelsMadansky:PrescriptionsforWorkingStatisticiansMc

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