Produktbild: Hay-Jahans, C: An R Companion to Linear Statistical Models

Hay-Jahans, C: An R Companion to Linear Statistical Models

Fr. 349.00

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

19.10.2011

Abbildungen

2/14-book has not reprinted-send newest file- SEE NOTES 1st print! 288 equations 42 Tables, black and white 97 Illustrations, black and white

Verlag

Taylor and Francis

Seitenzahl

372

Maße (L/B/H)

16.2/24.2/2.4 cm

Gewicht

860 g

Sprache

Englisch

ISBN

978-1-4398-7365-6

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

19.10.2011

Abbildungen

2/14-book has not reprinted-send newest file- SEE NOTES 1st print! 288 equations 42 Tables, black and white 97 Illustrations, black and white

Verlag

Taylor and Francis

Seitenzahl

372

Maße (L/B/H)

16.2/24.2/2.4 cm

Gewicht

860 g

Sprache

Englisch

ISBN

978-1-4398-7365-6

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  • Produktbild: Hay-Jahans, C: An R Companion to Linear Statistical Models
  • BackgroundGetting StartedIntroductionStarting up R Searching for HelpManaging Objects in the WorkspaceInstalling and Loading Packages from CRANAttaching R ObjectsSaving Graphics Images from RViewing and Saving Session HistoryCiting R and Packages from CRANThe R Script EditorWorking with NumbersIntroductionElementary Operators and FunctionsSequences of NumbersCommon Probability DistributionsUser Defined FunctionsWorking with Data StructuresIntroductionNaming and Initializing Data StructuresClassifications of Data within Data StructuresBasics with Univariate DataBasics with Multivariate DataDescriptive StatisticsFor the CuriousBasic Plotting FunctionsIntroductionThe Graphics WindowBoxplotsHistogramsDensity Histograms and Normal CurvesStripchartsQQ Normal Probability PlotsHalf-Normal PlotsTime-Series PlotsScatterplotsMatrix ScatterplotsBells and WhistlesFor the CuriousAutomating Flow in ProgramsIntroductionLogical Variables, Operators, and StatementsConditional StatementsLoopsProgramming ExamplesSome Programming TipsLinear Regression ModelsSimple Linear RegressionIntroductionExploratory Data AnalysisModel Construction and FitDiagnosticsEstimating Regression ParametersConfidence Intervals for the Mean ResponsePrediction Intervals for New ObservationsFor the CuriousSimple Remedies for Simple RegressionIntroductionImproving FitNormalizing TransformationsVariance Stabilizing TransformationsPolynomial RegressionPiecewise Defined ModelsIntroducing Categorical VariablesFor the CuriousMultiple Linear RegressionIntroductionExploratory Data AnalysisModel Construction and FitDiagnosticsEstimating Regression ParametersConfidence Intervals for the Mean ResponsePrediction Intervals for New ObservationsFor the CuriousAdditional Diagnostics for Multiple RegressionIntroductionDetection of Structural ViolationsDiagnosing MulticollinearityVariable SelectionModel Selection CriteriaFor the CuriousSimple Remedies for Multiple RegressionIntroductionImproving FitNormalizing TransformationsVariance Stabilizing TransformationsPolynomial RegressionAdding New Explanatory VariablesWhat if None of the Simple Remedies Help?For the Curious: Box—Tidwell RevisitedLinear Models with Fixed-Effects FactorsOne-Factor ModelsIntroductionExploratory Data AnalysisModel Construction and FitDiagnosticsPairwise Comparisons of Treatment EffectsTesting General ContrastsAlternative Variable Coding SchemesFor the CuriousOne-Factor Models with CovariatesIntroductionExploratory Data AnalysisModel Construction and FitDiagnosticsPairwise Comparisons of Treatment EffectsModels with Two or More CovariatesFor the CuriousOne-Factor Models with a Blocking VariableIntroductionExploratory Data AnalysisModel Construction and FitDiagnosticsPairwise Comparisons of Treatment EffectsTukey’s Nonadditivity TestFor the CuriousTwo-Factor ModelsIntroductionExploratory Data AnalysisModel Construction and FitDiagnosticsPairwise Comparisons of Treatment EffectsWhat if Interaction Effects Are Significant?Data with Exactly One Observation per CellTwo-Factor Models with CovariatesFor the Curious: Scheffe’s F-TestsSimple Remedies for Fixed-Effects ModelsIntroductionIssues with the Error AssumptionsMissing VariablesIssues Specific to CovariatesFor the CuriousBibliographyIndex