Aris Spanos

Probability Theory and Statistical Inference (eBook, PDF)

Econometric Modeling with Observational Data

• Format: PDF

Produktbeschreibung

This major textbook from a distinguished econometrician is intended for students taking introductory courses in probability theory and statistical inference. No prior knowledge other than a basic familiarity with descriptive statistics is assumed. The primary objective of this book is to establish the framework for the empirical modelling of observational (non-experimental) data. This framework known as 'Probabilistic Reduction' is formulated with a view to accommodating the peculiarities of observational (as opposed to experimental) data in a unifying and logically coherent way. Probability Theory and Statistical Inference differs from traditional textbooks in so far as it emphasizes concepts, ideas, notions and procedures which are appropriate for modelling observational data. Aimed at students at second-year undergraduate level and above studying econometrics and economics, this textbook will also be useful for students in other disciplines which make extensive use of observational data, including finance, biology, sociology and psychology and climatology.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 2. September 1999
• Englisch
• ISBN-13: 9780511037344
• Artikelnr.: 38201849

Inhaltsangabe

Preface
1. An introduction to empirical modelling
2. Probability theory: a modelling framework
3. The notion of a probability model
4. The notion of a random sample
5. Theoretical concepts and real data
6. The notion of a non-random sample
7. Regression and related notions
8. Stochastic processes
9. Limit theorems
10. From probability theory to statistical inference
11. An introduction to statistical inference
12. Estimation I: properties of estimators
13. Estimation II: methods of estimation
14. Hypothesis testing
15. Misspecification testing
References
Index.