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| SAMPRIT CHATTERJEE, PHD, is Professor of Health Policy at Mount Sinai School of Medicine. He is also Professor Emeritus of Statistics at New York University. A well-known research scientist and Fulbright scholar, Dr. Chatterjee has co-authored Sensitivity Analysis in Linear Regression (with Dr. Hadi) and A Casebook for a First Course in Statistics and Data Analysis, both published by Wiley. |
| Preface 1 Introduction 1.1 What Is Regression Analysis? 1.2 Publicly Available Data Sets 1.3 Selected Applications of Regression Analysis 1.4 Step in Regression Analysis 1.5 Scope and Organization of the Book Exercise 2 Simple Linear regression 2.1 Introduction 2.2 Covariance and Correlation Coefficient 2.3 Example: Computer Repair Data 2.4 The Simple Linear Regression Model 2.5 Parameter Estimation 2.6 Tests of hypotheses 2.7 Confidence Intervals 2.8 Predictions 2.9 Measuring the Quality of Fit 2.10 Regression Line Through the Origin 2.11 Trivial Regression Models 2.12 Bibliographic Notes Exercises 3 Multiple Linear Regression 4 Regression Diagnostics: Detection of Model Violations 5 Qualitative Variables as Predictors 6 Transformation of Variables 7 Weighted Least Squar45es 8 The Problem of Correlated Errors 9 Analysis of Collinear Data 10 Biased Estimation of Regression Coefficients 11 Variable Selection Procedures 12 Logistic Regression 13 Further Topics Appendix A: Statistical Tables References Index |
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