An Introduction to Bayesian Inference in Econometrics by Arnold Zellner

An Introduction to Bayesian Inference in Econometrics by Arnold Zellner

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Résumé

This is a classical reprint edition of the original 1971 edition of An Introduction to Bayesian Inference in Economics. This historical volume is an early introduction to Bayesian inference and methodology which still has lasting value for today's statistician and student.

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An Introduction to Bayesian Inference in Econometrics by Arnold Zellner

This is a classical reprint edition of the original 1971 edition of An Introduction to Bayesian Inference in Economics. This historical volume is an early introduction to Bayesian inference and methodology which still has lasting value for today's statistician and student. The coverage ranges from the fundamental concepts and operations of Bayesian inference to analysis of applications in specific econometric problems and the testing of hypotheses and models.
Arnold Zellner was a leading economist at the University of Chicago Booth School of Business who pioneered the field of Bayesian econometrics. Zellner was known for the breadth of his contributions to many different areas of econometrics. His pioneering work in systems of equations, Bayesian statistics and econometrics, or time series analysis would each have earned him worldwide recognition. An award-winning teacher, Zellner published more than 200 scholarly articles and 22 books and monographs, including An Introduction to Bayesian Inference in Econometrics, J. Wiley and Sons, Inc., 1971 and Basic Issues in Econometrics, University of Chicago Press, 1984.
SKU Non disponible
ISBN 13 9780471169376
ISBN 10 0471169374
Titre An Introduction to Bayesian Inference in Econometrics
Auteur Arnold Zellner
Série Wiley Classics Library
État Non disponible
Type de reliure Paperback
Éditeur Wiley-Interscience
Année de publication 1996-09-04
Nombre de pages 448
Note de couverture La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier.
Note Non disponible