Book contents
- Frontmatter
- Dedication
- Contents
- Preface to the Second Edition
- 1 An Introduction to Empirical Modeling
- 2 Probability Theory as a Modeling Framework
- 3 The Concept of a Probability Model
- 4 A Simple Statistical Model
- 5 Chance Regularities and Probabilistic Concepts
- 6 Statistical Models and Dependence
- 7 Regression Models
- 8 Introduction to Stochastic Processes
- 9 Limit Theorems in Probability
- 10 From Probability Theory to Statistical Inference
- 11 Estimation I: Properties of Estimators
- 12 Estimation II: Methods of Estimation
- 13 Hypothesis Testing
- 14 Linear Regression and Related Models
- 15 Misspecification (M-S) Testing
- References
- Index
Dedication
Published online by Cambridge University Press: 28 September 2019
Book contents
- Frontmatter
- Dedication
- Contents
- Preface to the Second Edition
- 1 An Introduction to Empirical Modeling
- 2 Probability Theory as a Modeling Framework
- 3 The Concept of a Probability Model
- 4 A Simple Statistical Model
- 5 Chance Regularities and Probabilistic Concepts
- 6 Statistical Models and Dependence
- 7 Regression Models
- 8 Introduction to Stochastic Processes
- 9 Limit Theorems in Probability
- 10 From Probability Theory to Statistical Inference
- 11 Estimation I: Properties of Estimators
- 12 Estimation II: Methods of Estimation
- 13 Hypothesis Testing
- 14 Linear Regression and Related Models
- 15 Misspecification (M-S) Testing
- References
- Index
- Type
- Chapter
- Information
- Probability Theory and Statistical InferenceEmpirical Modeling with Observational Data, pp. v - viPublisher: Cambridge University PressPrint publication year: 2019