Testing, confidence regions, model selection, and asymptotic theory
著者
書誌事項
Testing, confidence regions, model selection, and asymptotic theory
（Themes in modern econometrics, . Statistics and econometric models ; v. 2）
Cambridge University Press, 1995
- : hbk
- : pbk
- タイトル別名
-
Statistique et modèles économétriques
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注記
Translation of: Statistique et modèles économétriques, v. 2
Originally published in French by Économica, 1989
Includes bibliographical references and index
内容説明・目次
内容説明
This two-volume work aims to present as completely as possible the methods of statistical inference with special reference to their economic applications. The reader will find a description not only of the classical concepts and results of mathematical statistics, but also of concepts and methods recently developed for the specific needs of econometrics. The authors have sought to avoid an overly technical presentation and go to some lengths to encourage an intuitive understanding of the results by providing numerous examples throughout. The breadth of approaches and the extensive coverage of the two volumes provide for a thorough and entirely self-contained course in modern econometrics. Volume 1 provides an introduction to general concepts and methods in statistics and econometrics, and goes on to cover estimation and prediction. Volume 2 focuses on testing, confidence regions, model selection, and asymptotic theory.
目次
- 1. Introduction to tests of hypotheses
- 2. Uniformly most powerful tests
- 3. Unbiased tests and invariant tests
- 4. Likelihood based tests
- 5. General asymptotic tests
- 6. Multiple tests
- 7. Set estimation and confidence regions
- 8. Inequality constraints: estimation and testing
- 9. Nonnested tests and model selection criteria
- 10. Asymptotic efficiency
- 11. Asymptotic theory
- Appendix A. Review of linear algebra and matrix calculus
- Appendix B. Review of probability.
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