Ebook: Generalized Linear Mixed Models : Modern Concepts, Methods and Applications
Author: Stroup Walter W
- Genre: Mathematics // Mathematicsematical Statistics
- Tags: Математика, Теория вероятностей и математическая статистика, Математическая статистика
- Series: Chapman & Hall/CRC Texts in Statistical Science
- Year: 2012
- Publisher: CRC Press
- City: Hoboken
- Language: English
- pdf
PART I The Big PictureModeling BasicsWhat Is a Model?Two Model Forms: Model Equation and Probability DistributionTypes of Model EffectsWriting Models in Matrix FormSummary: Essential Elements for a Complete Statement of the ModelDesign MattersIntroductory Ideas for Translating Design and Objectives into ModelsDescribing ""Data Architecture"" to Facilitate Model SpecificationFrom Plot Plan to Linear Read more...
Abstract: PART I The Big PictureModeling BasicsWhat Is a Model?Two Model Forms: Model Equation and Probability DistributionTypes of Model EffectsWriting Models in Matrix FormSummary: Essential Elements for a Complete Statement of the ModelDesign MattersIntroductory Ideas for Translating Design and Objectives into ModelsDescribing ""Data Architecture"" to Facilitate Model SpecificationFrom Plot Plan to Linear PredictorDistribution MattersMore Complex Example: Multiple Factors with Different Units of ReplicationSetting the StageGoals for Inference with Models: OverviewBasic Tools of InferenceIssue I: Data