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Probability theory and statistical inference : econometric modeling with observational data / Aris Spanos.

By: Material type: TextTextPublication details: Cambridge, UK ; New York, NY, USA : Cambridge University Press, ©1999.Description: 1 online resource (xxvii, 815 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0511010974
  • 9780511010972
  • 0511116039
  • 9780511116032
  • 9780511754081
  • 0511754086
  • 9786610151738
  • 6610151733
Subject(s): Genre/Form: Additional physical formats: Print version:: Probability theory and statistical inference.DDC classification:
  • 330/.01/5195 21
LOC classification:
  • HB139 .S66 1999eb
Other classification:
  • 31.70
Online resources:
Contents:
1. An introduction to empirical modeling -- 2. Probability theory: a modeling framework -- 3. The notion of a probability model -- App. A. Univariate probability models -- 4. The notion of a random sample.
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.
App. B. Bivariate distributions -- 5. Probabilistic concepts and real data -- 6. The notion of a non-random sample -- 7. Regression and related notions -- 8. Stochastic processes -- 9. Limit theorems.
Summary: The primary objective of this text is to establish the framework for the empirical modelling of observational (non-experimental) data. The book is aimed at students taking introductory courses in proabilitity theory and statistical inference.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Business Available
Total holds: 0

Includes bibliographical references (pages 787-805) and index.

Print version record.

1. An introduction to empirical modeling -- 2. Probability theory: a modeling framework -- 3. The notion of a probability model -- App. A. Univariate probability models -- 4. The notion of a random sample.

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.

App. B. Bivariate distributions -- 5. Probabilistic concepts and real data -- 6. The notion of a non-random sample -- 7. Regression and related notions -- 8. Stochastic processes -- 9. Limit theorems.

The primary objective of this text is to establish the framework for the empirical modelling of observational (non-experimental) data. The book is aimed at students taking introductory courses in proabilitity theory and statistical inference.

Master record variable field(s) change: 050

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