Book contents
- Frontmatter
- Contents
- Preface
- 1 Motivation and Basic Tools
- 2 Estimation Theory
- 3 Hypothesis Testing
- 4 Elements of Statistical Decision Theory
- 5 Stochastic Processes: An Overview
- 6 Stochastic Convergence and Probability Inequalities
- 7 Asymptotic Distributions
- 8 Asymptotic Behavior of Estimators and Tests
- 9 Categorical Data Models
- 10 Regression Models
- 11 Weak Convergence and Gaussian Processes
- Bibliography
- Index
10 - Regression Models
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Preface
- 1 Motivation and Basic Tools
- 2 Estimation Theory
- 3 Hypothesis Testing
- 4 Elements of Statistical Decision Theory
- 5 Stochastic Processes: An Overview
- 6 Stochastic Convergence and Probability Inequalities
- 7 Asymptotic Distributions
- 8 Asymptotic Behavior of Estimators and Tests
- 9 Categorical Data Models
- 10 Regression Models
- 11 Weak Convergence and Gaussian Processes
- Bibliography
- Index
Summary
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- Type
- Chapter
- Information
- From Finite Sample to Asymptotic Methods in Statistics , pp. 293 - 337Publisher: Cambridge University PressPrint publication year: 2009