Synopsis
Intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods.
"synopsis" may belong to another edition of this title.
About the Authors
George G. Judge is a Professor at the University of California, Berkeley. Professor Judge has also served on the faculty of the University of Illinois, University of Connecticut, and Oklahoma State University and has been a visiting professor at several US and European universities. He is the coauthor or editor of 15 books in econometrics and related fields and author or coauthor of more than 150 articles in refereed journals. His research explores specification and evaluation of statistical decision rules, improved inference methods, and parametric and semiparametric estimation and information recovery in the case of ill-posed inverse problems with noise. Judge is a Fellow of the Econometric Society and the American Agricultural Economics Association.
Ron C. Mittelhammer is Regents Professor of Economic Sciences and Statistics at Washington State University. He is the author of Mathematical Statistics for Economics and Business (1996), lead coauthor with George G. Judge and Douglas J. Miller of Econometric Foundations (Cambridge University Press, 2000), and the author of numerous book chapters and articles in refereed economics, statistics, and econometrics journals. Professor Mittelhammer's current research focuses on econometric theory for applications in a range of economics fields. With more than two decades of graduate-level teaching experience, his skill as a teacher of statistics and econometrics is documented by teaching evaluations and awards. He served as president of the Agricultural and Applied Economics Association in 2009–10.
"About this title" may belong to another edition of this title.
Other Popular Editions of the Same Title
Search results for An Information Theoretic Approach to Econometrics
Stock Image
An Information Theoretic Approach to Econometrics
Published by
Cambridge University Press, 2011
ISBN 10: 0521689732
ISBN 13: 9780521689731
Used
Soft cover
Seller: bmyguest books, Toronto, ON, Canada
Seller rating 3 out of 5 stars
Soft cover. Condition: Very Good. Clean, Nearly As New. With No Remarks Or Highlighting Inside. 232 Pages With The Index. Paperbackbooks are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us. Seller Inventory # A19042a
Stock Image
An Information Theoretic Approach to Econometrics
Published by
Cambridge University Press, 2012
ISBN 10: 0521689732
ISBN 13: 9780521689731
Used
Softcover
Seller: Anybook.com, Lincoln, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:9780521689731. Seller Inventory # 7061576
Buy Used
£ 18.43
Shipping:
£ 12.94
From United Kingdom to U.S.A.
Quantity: 1 available
Stock Image
An Information Theoretic Approach to Econometrics
Published by
Cambridge University Press, 2012
ISBN 10: 0521689732
ISBN 13: 9780521689731
Used
Softcover
Seller: Anybook.com, Lincoln, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,450grams, ISBN:9780521689731. Seller Inventory # 9938392
Buy Used
£ 18.62
Shipping:
£ 12.94
From United Kingdom to U.S.A.
Quantity: 1 available
Stock Image
An Information Theoretic Approach to Econometrics
Print on DemandSeller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 232 pages. 8.90x6.00x0.70 inches. In Stock. This item is printed on demand. Seller Inventory # __0521689732
Stock Image
An Information Theoretic Approach to Econometrics
Published by
Cambridge University Press, 2012
ISBN 10: 0521689732
ISBN 13: 9780521689731
Used
Paperback
Seller: AMM Books, Gillingham, KENT, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. Unread. In stock ready to dispatch from the UK. Seller Inventory # mon0000205228
Buy Used
£ 24.63
Shipping:
£ 14.99
From United Kingdom to U.S.A.
Quantity: 2 available
Stock Image
An Information Theoretic Approach to Econometrics
Published by
Cambridge University Press, 2012
ISBN 10: 0521689732
ISBN 13: 9780521689731
New
Paperback
Seller: AMM Books, Gillingham, KENT, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. In stock ready to dispatch from the UK. Seller Inventory # mon0000205229
Stock Image
An Information Theoretic Approach to Econometrics (Paperback)
Published by
Cambridge University Press, Cambridge, 2011
ISBN 10: 0521689732
ISBN 13: 9780521689731
New
Paperback
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods. Because most data are observational, practitioners work with indirect noisy observations and ill-posed econometric models in the form of stochastic inverse problems. Consequently, traditional econometric methods in many cases are not applicable for answering many of the quantitative questions that analysts wish to ask. After initial chapters deal with parametric and semiparametric linear probability models, the focus turns to solving nonparametric stochastic inverse problems. In succeeding chapters, a family of power divergence measure-likelihood functions are introduced for a range of traditional and nontraditional econometric-model problems. Finally, within either an empirical maximum likelihood or loss context, Ron C. Mittelhammer and George G. Judge suggest a basis for choosing a member of the divergence family. Most econometric books do not recognize the ill-posed inverse nature of their econometric models and the indirect noisy characteristics of their sample data. This book focuses on these problems and provides a basis for dealing with estimation and inference issues that typically arise in a range of traditional and nontraditional econometric models. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521689731
Stock Image
An Information Theoretic Approach to Econometrics
Published by
Cambridge University Press, 2011
ISBN 10: 0521689732
ISBN 13: 9780521689731
New
Paperback / softback
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 654. Seller Inventory # C9780521689731
Buy New
£ 32.34
Shipping:
£ 17.29
From United Kingdom to U.S.A.
Quantity: Over 20 available
Seller Image
An Information Theoretic Approach to Econometrics (Paperback or Softback)
Published by
Cambridge University Press 12/12/2011, 2011
ISBN 10: 0521689732
ISBN 13: 9780521689731
New
Paperback or Softback
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Seller rating 5 out of 5 stars
Paperback or Softback. Condition: New. An Information Theoretic Approach to Econometrics. Book. Seller Inventory # BBS-9780521689731
Stock Image
An Information Theoretic Approach to Econometrics
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 232 pages. 8.90x6.00x0.70 inches. In Stock. Seller Inventory # x-0521689732