TECHNICAL BULLETINS
İÇİNDEKİLERACKNOWLEDGEMENTSABSTRACT FOREWORD 1. INTRODUCTION 2. AN EXAMPLE OF A MODEL 3. GENERALIZED LINEAR 3.1. LINEAR MODELS 3.1.1.The Systematic Component 3.1.2.The Normal Error Structure 3.2. GENERALIZED LINEAR MODELS 3.2.1.The Systematic Component 3.2.2.Error Structures other than Normal 3.3. SUMMARY 4. HIERARCHICAL MODELS: FITTING AND SELECTION 4.1.THE SATURATED MODEL 4.2.UNSATURATED HIERARCHICAL MODELS 4.3.MODEL FITTING 4.3.1.Linear Models 4.3.2.Log-Linear and Logit Linear Models 4.4. MODEL SELECTION USING THE MEAN DEVIANCE 4.4.1.Nested Models 4.4.2.F-tests of Relative fit 4.4.3.Chi-Squared Tests of Absolute Fit for Poisson and Binomial Error Structures 4.4.4.Chi Squared Tests of Relative Fit for Poisson and Binomial Error Structures 4.5. SUMMARY 5. INTERPRETATION OF ESTIMATED EFFECTS 5.1. LINEAR MODELS 5.2. LOG-LINEAR AND LOGIT - LINEAR ADDITIVE MODELS 5.3. STANDARDIZATION OF THE FITTED MEANS 5.4. WHY FIT A MODEL 5.5. SUMMARY 6. LOGIT LINEAR MODELS FOR PROPORTIONS 6.1. THE DATA 6.2. MODEL SELECTION 6.3. HYPOTHESIS TESTING 6.4. INSPECTION OF THE FITTED VALUES: LOGIT PLOTS 6.5. SUMMARY REFERENCES APPENDIX I: ADDITIONAL ANALYSIS BASED ON WITHIN-CELL SAMPLE VARIANCE NORMAL ERROR POISSON ERROR SUMMARY APPENDIX II: COMPUTING NOTES APPENDIX III: AN EXAMPLE OF OUTPUT FROM GLIM  |
