Intermediate Statistics and Econometrics: A Comparative Approach - Brossura

Poirier, Dale J. J.

Brossura

ISBN 10: 0262660946 ISBN 13: 9780262660945

Casa editrice: MIT Press, 1995

Riassunto

The standard introductory texts to mathematical statistics leave the Bayesian approach to be taught later in advanced topics courses - giving students the impression that Bayesian statistics provide but a few techniques appropriate in only special circumstances. Nothing could be further from the truth, argues Dale Poirier, who has developed a course for teaching comparatively both the classical and the Bayesian approaches to econometrics. Poirier's text provides a thoroughly modern, self-contained, comprehensive, and accessible treatment of the probability and statistical foundations of econometrics with special emphasis on the linear regression model. Written primarily for advanced undergraduate and graduate students who are pursuing research careers in economics, Intermediate Statistics and Econometrics offers a broad perspective, bringing together a great deal of diverse material. Its comparative approach, emphasis on regression and prediction, and numerous exercises and references provide a solid foundation for subsequent courses in econometrics and will prove a valuable resource to many nonspecialists who want to update their quantitative skills. The introduction closes with an example of a real-world data set - the Challenger space shuttle disaster - that motivates much of the text's theoretical discussion. The ten chapters that follow cover basic concepts, special distributions, distributions of functions of random variables, sampling theory, estimation, hypothesis testing, prediction, and the linear regression model. Appendixes contain a review of matrix algebra, computation, and statistical tables.

Su questo libro

L'autore

Dale J. Poirier is Professor of Economics at the University of Toronto.

Product Description

The standard introductory texts to mathematical statistics leave the Bayesian approach to be taught later in advanced topic courses - giving students the impression that Bayesian statistics provide but a few techniques appropriate in only special circumstances. Nothing could be further from the truth, argues Dale Poirier, who has developed a course for teaching comparatively both the classical and the Bayesian approaches to econometrics. This text provides a modern, comprehensive and accessible treatment of the probability and statistical foundations of econometrics with special emphasis on the linear regression model. Written primarily for advanced undergraduate and graduate students who are pursuing research careers in economics the book offers a broad perspective, bringing together diverse material. Its comparative approach, emphasis on regression and prediction and numerous exercises and references provide a foundation for subsequent courses in econometrics and should prove a valuable resource to many nonspecialists who want to update their quantitative skills. The introduction closes with an example of a real-world data set - the Challenger space shuttle disaster - that motivates much of the text's theoretical discussion. The ten chapters that follow cover basic concepts, special distributions, distributions of functions of random variables, sampling theory, estimation, hypothesis testing, prediction and the linear regression model. Appendices contain a review of matrix algebra, computation and statistical tables.

Dettagli dell'edizione

• Editore: MIT Press
• Data di pubblicazione: 1995
• Lingua: Inglese
• ISBN 10: 0262660946
• ISBN 13: 9780262660945
• Rilegatura: Copertina flessibile
• Numero di pagine: 736
• Contatto del produttore: non disponibile
• Persona responsabile: Purmerul LTD; https://strengholt.nl/en/; ; 22 Liuleburgaz Str., floor 4, app. 9; Plovdiv; Bulgaria