实验设计和分析

图书标准信息

• 作者 [美]狄恩 著
• 出版社 世界图书出版公司
• 出版时间 2010-04
• 版次 1
• ISBN 9787510005619
• 定价 129.00元
• 装帧 平装
• 开本 16开
• 纸张 胶版纸
• 页数 740页
• 正文语种 英语

【内容简介】

PrinciplesandTechniques、Design：BasicPrinciplesandTechniques、TheArtofExperimentation、Replication、Blocking、Randomization、Analysis：BasicPrinciplesandTechniques、PlanningExperiments、AChecklistforPlanningExperiments、RealExperiment——Cotton-SpinningExperiment等等。

【目录】

Preface
1.PrinciplesandTechniques
1.1.Design：BasicPrinciplesandTechniques
1.1.1.TheArtofExperimentation
1.1.2.Replication
1.1.3.Blocking
1.1.4.Randomization
1.2.Analysis：BasicPrinciplesandTechniques

2.PlanningExperiments
2.1.Introduction
2.2.AChecklistforPlanningExperiments
2.3.ARealExperiment——Cotton-SpinningExperiment
2.4.SomeStandardExperimentalDesigns
2.4.1.CompletelyRandomizedDesigns
2.4.2.BlockDesigns
2.4.3.DesignswithTwoorMoreBlockingFactors
2.4.4.Split-PlotDesigns
2.5.MoreRealExperiments
2.5.1.SoapExperiment
2.5.2.BatteryExperiment
2.5.3.Cake-BakingExperiment
Exercises

3.DesignswithOneSourceofVariation
3.1.Introduction
3.2.Randomization
3.3.ModelforaCompletelyRandomizedDesign
3.4.EstimationofParameters
3.4.1.EstimableFunctionsofParameters
3.4.2.Notation
3.4.3.ObtainingLeastSquaresEstimates
3.4.4.PropertiesofLeastSquaresEstimators
3.4.5.Estimationofo2
3.4.6.ConfidenceBoundfor~r2
3.5.One-WayAnalysisofVariance
3.5.1.TestingEqualityofTreatmentEffects
3.5.2.Useofp-Values
3.6.SampleSizes
3.6.1.ExpectedMeanSquaresforTreatments
3.6.2.SampleSizesUsingPowerofaTest
3.7.ARealExperiment——-SoapExperiment，Continued
3.7.1.Checklist，Continued
3.7.2.DataCollectionandAnalysis
3.7.3.DiscussionbytheExperimenter
3.7.4.FurtherObservationsbytheExperimenter
3.8.UsingSASSoftware
3.8.1.Randomization
3.8.2.AnalysisofVariance
Exercises

4.InferencesforContrastsandTreatmentMeans
4.1.Introduction
4.2.Contrasts
4.2.1.PairwiseComparisons
4.2.2.TreatmentVersusControl
4.2.3.DifferenceofAverages
4.2.4.Trends
4.3.IndividualContrastsandTreatmentMeans
4.3.1.ConfidenceIntervalforaSingleContrast
4.3.2.ConfidenceIntervalforaSingleTreatmentMean
4.3.3.HypothesisTestforaSingleContrastorTreatmentMean
4.4.MethodsofMultipleComparisons
4.4.1.MultipleConfidenceIntervals
4.4.2.BonferroniMethodforPreplannedComparisons
4.4.3.Scheff6MethodofMultipleComparisons
4.4.4.TukeyMethodforAllPairwiseComparisons
4.4.5.DunnettMethodforTreatment-Versus-ControlComparisons
4.4.6.HsuMethodforMultipleComparisonswiththeBest
reatment
4.4.7.CombinationofMethods
4.4.8.MethodsNotControllingExperimentwiseErrorRate
4.5.SampleSizes
4.6.UsingSASSoftware
4.6.1.InferencesonIndividualContrasts
4.6.2.MultipleComparisons
Exercises

5.CheckingModelAssumptions
5.1.Introduction
5.2.StrategyforCheckingModelAssumptions
5.2.1.Residuals
5.2.2.ResidualPlots
5.3.CheckingtheFitoftheModel
5.4.CheckingforOutliers
5.5.CheckingIndependenceoftheErrorTerms
5.6.CheckingtheEqualVarianceAssumption
5.6.1.DetectionofUnequalVariances
5.6.2.DataTransformationstoEqualizeVariances
5.6.3.AnalysiswithUnequalErrorVariances
5.7.CheckingtheNormalityAssumption
5.8.UsingSASSoftware
5.8.1.UsingSAStoGenerateResidualPlots
5.8.2.TransformingtheData
Exercises

6.ExperimentswithTwoCrossedTreatmentFactors
6.1.Introduction
6.2.ModelsandFactorialEffects
6.2.1.TheMeaningofInteraction
6.2.2.ModelsforTwoTreatmentFactors
6.2.3.CheckingtheAssumptionsontheModel
6.3.Contrasts
6.3.1.ContrastsforMainEffectsandInteractions
6.3.2.WritingContrastsasCoefficientLists
6.4.AnalysisoftheTwo-WayCompleteModel
6.4.1.LeastSquaresEstimatorsfortheTwo-WayCompleteModel
6.4.2.Estimationofo~fortheTwo-WayCompleteModel
6.4.3.MultipleComparisonsfortheCompleteModel
6.4.4.AnalysisofVariancefortheCompleteModel
6.5.AnalysisoftheTwo-WayMain-EffectsModel
6.5.1.LeastSquaresEstimatorsfortheMain-EffectsModel
6.5.2.Estimationofa2intheMain-EffectsModel
6.5.3.MultipleComparisonsfortheMain-EffectsModel
6.5.4.UnequalVariances
6.5.5.AnalysisofVarianceforEqualSampleSizes
6.5.6.ModelBuilding
6.6.CalculatingSampleSizes
6.7.SmallExperiments
6.7.1.OneObservationperCell
6.7.2.AnalysisBasedonOrthogonalContrasts
6.7.3.TukeysTestforAdditivity
6.7.4.ARealExperiment——AirVelocityExperiment
6.8.UsingSASSoftware
6.8.1.ContrastsandMultipleComparisons
6.8.2.Plots
6.8.3.OneObservationperCell
Exercises

7.SeveralCrossedTreatmentFactors
7.1.Introduction
7.2.ModelsandFactorialEffects
7.2.1.Models
7.2.2.TheMeaningofInteraction
7.2.3.SeparabilityofFactorialEffects
7.2.4.EstimationofFactorialContrasts
7.3.Analysis——EqualSampleSizes
7.4.ARealExperiment——Popcorn-MicrowaveExperiment
7.5.OneObservationperCell
7.5.1.AnalysisAssumingThatCertainInteractionEffectsAreegligible
7.5.2.AnalysisUsingNormalProbabilityPlotofEffectEstimates
7.5.3.AnalysisUsingConfidenceIntervals
7.6.DesignfortheControlofNoiseVariability
7.6.1.AnalysisofDesign-by-NoiseInteractions
7.6.2.AnalyzingtheEffectsofDesignFactorsonVariability.
7.7.UsingSASSoftware
7.7.1.NormalProbabilityPlotsofContrastEstimates
7.7.2.Voss-WangConfidenceIntervalMethod
7.7.3.IdentificationofRobustFactorSettings
7.7.4.ExperimentswithEmptyCells
Exercises

8.PolynomialRegression
8.1.Introduction
8.2.Models
8.3.LeastSquaresEstimation（Optional）
8.3.1.NormalEquations
……
9.AnalysisofCovariance
10.CompleteBlockDesigns
11.IncompleteBlockDesigns
12.DesignswithTwoBlockingFactors
13.ConfoundedTwo-LevelFactorialExperiments
14.ConfoundinginGeneralFactorialExperiments
15.FractionalFactorialExperiments
16.esponseSurfaceMethodology
17.andomEffectsandVarianceComponents
18.estdeModels
19.plit-PlotDesigns
A.ables
Bibliography
IndexofAuthors
IndexofExperiments
IndexofSubjects