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  • Produktbild: Bayesian Methods for Repeated Measures
  • Produktbild: Bayesian Methods for Repeated Measures

Bayesian Methods for Repeated Measures

Fr. 113.00

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.06.2018

Verlag

Taylor and Francis

Seitenzahl

568

Maße (L/B/H)

23.4/15.6/3 cm

Gewicht

1050 g

Sprache

Englisch

ISBN

978-1-138-89404-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.06.2018

Verlag

Taylor and Francis

Seitenzahl

568

Maße (L/B/H)

23.4/15.6/3 cm

Gewicht

1050 g

Sprache

Englisch

ISBN

978-1-138-89404-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Bayesian Methods for Repeated Measures
  • Produktbild: Bayesian Methods for Repeated Measures
  • Introduction to the Analysis of Repeated MeasuresIntroductionBayesian InferenceBayes's TheoremPrior InformationPosterior InformationPosterior InferenceEstimationTesting HypothesesPredictive InferenceThe BinomialForecasting from a Normal PopulationChecking Model AssumptionsSampling from an Exponential, but Assuming a Normal PopulationPoisson PopulationMeasuring Tumor SizeTesting the Multinomial AssumptionComputingExample of a Cross-Sectional StudyMarkov Chain Monte CarloMetropolis AlgorithmGibbs SamplingCommon Mean of Normal PopulationsAn ExampleAdditional Comments about Bayesian InferenceWinBUGSPreviewExercisesReview of Bayesian Regression MethodsIntroductionLogistic RegressionLinear Regression ModelsWeighted RegressionNonlinear RegressionRepeated Measures ModelRemarks about Review of RegressionExercisesFoundation and Preliminary ConceptsIntroductionAn ExampleNotationDescriptive StatisticsGraphicsSources of VariationBayesian InferenceSummary StatisticsAnother ExampleBasic Ideas for Categorical VariablesSummaryExercisesLinear Models for Repeated Measures and Bayesian InferenceIntroductionNotation for Linear ModelsModeling the MeanModeling the Covariance MatrixHistorical ApproachesBayesian InferenceAnother ExampleSummary and ConclusionsExercisesEstimating the Mean Profile of Repeated MeasuresIntroductionPolynomials for Fitting the Mean ProfileModeling the Mean Profile for Discrete ObservationsExamplesConclusions and SummaryExercisesCorrelation Patterns for Repeated MeasuresIntroductionPatterns for Correlation MatricesChoosing a Pattern for the Covariance MatrixMore ExamplesComments and ConclusionsExercisesGeneral Mixed Linear ModelIntroduction and Definition of the ModelInterpretation of the ModelGeneral Linear Mixed Model NotationPattern of the Covariance MatrixBayesian ApproachExamplesDiagnostic Procedures for Repeated MeasuresComments and ConclusionsExercisesRepeated Measures for Categorical DataIntroduction to the Bayesian Analysis with a Dirichlet Posterior DistributionBayesian GEEGeneralized Mixed Linear Models for Categorical DataComments and ConclusionsExercisesNonlinear Models and Repeated MeasuresNonlinear Models and a Continuous ResponseNonlinear Repeated Measures with Categorical DataComments and ConclusionExercisesBayesian Techniques for Missing DataIntroductionMissing Data and Linear Models of Repeated MeasuresMissing Data and Categorical Repeated MeasuresComments and ConclusionsExercisesReferences