Articles liés à An Information Theoretic Approach to Econometrics
Synopsis
Intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos des auteurs
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurCambridge University Press
- Date d'édition2011
- ISBN 10 0521869595
- ISBN 13 9780521869591
- ReliureRelié
- Langueanglais
- Nombre de pages248
- Coordonnées du fabricantnon disponible
Acheter neuf
Afficher cet article
EUR 88,77
EUR 4,73 expédition depuis Royaume-Uni vers France
Destinations, frais et délais
Résultats de recherche pour An Information Theoretic Approach to Econometrics
Image d'archives
An Information Theoretic Approach to Econometrics
Edité par
Cambridge University Press, 2011
ISBN 10 : 0521869595
ISBN 13 : 9780521869591
Ancien ou d'occasion
Couverture rigide
Vendeur : Academybookshop, Long Island City, NY, Etats-Unis
Évaluation du vendeur 3 sur 5 étoiles
Hardcover. Etat : As New. In fine, clean condition, with a remainder mark, clean pages. N° de réf. du vendeur A-27913
Quantité disponible : 1 disponible(s)
Image d'archives
An Information Theoretic Approach to Econometrics
Edité par
Cambridge University Press, 2011
ISBN 10 : 0521869595
ISBN 13 : 9780521869591
Neuf
Couverture rigide
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9780521869591_new
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Information Theoretic Approach to Econometrics
Edité par
Cambridge University Press, 2012
ISBN 10 : 0521869595
ISBN 13 : 9780521869591
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 . N° de réf. du vendeur 594766281
Quantité disponible : Plus de 20 disponibles
Image d'archives
An Information Theoretic Approach Econometrics
Edité par
Cambridge Univ Pr, 2012
ISBN 10 : 0521869595
ISBN 13 : 9780521869591
Neuf
Couverture rigide
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Brand New. 232 pages. 9.25x6.14x0.83 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __0521869595
Quantité disponible : 1 disponible(s)
Image d'archives
An Information Theoretic Approach to Econometrics
Edité par
Cambridge University Press CUP, 2011
ISBN 10 : 0521869595
ISBN 13 : 9780521869591
Neuf
Couverture rigide
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. pp. 248. N° de réf. du vendeur 263123734
Quantité disponible : 3 disponible(s)
Image d'archives
An Information Theoretic Approach to Econometrics
Edité par
Cambridge University Press, 2011
ISBN 10 : 0521869595
ISBN 13 : 9780521869591
Neuf
Couverture rigide
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 490. N° de réf. du vendeur C9780521869591
Quantité disponible : Plus de 20 disponibles
Image d'archives
An Information Theoretic Approach to Econometrics
Edité par
Cambridge University Press, 2011
ISBN 10 : 0521869595
ISBN 13 : 9780521869591
Neuf
Couverture rigide
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. pp. 248. N° de réf. du vendeur 183123740
Quantité disponible : 3 disponible(s)
Image d'archives
Information Theoretic Approach to Econometrics (Hardcover)
Edité par
Cambridge University Press, Cambridge, 2011
ISBN 10 : 0521869595
ISBN 13 : 9780521869591
Neuf
Couverture rigide
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780521869591
Quantité disponible : 1 disponible(s)
Image d'archives
Information Theoretic Approach to Econometrics (Hardcover)
Edité par
Cambridge University Press, Cambridge, 2011
ISBN 10 : 0521869595
ISBN 13 : 9780521869591
Neuf
Couverture rigide
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 3 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9780521869591
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
An Information Theoretic Approach to Econometrics
Edité par
Cambridge University Press, 2011
ISBN 10 : 0521869595
ISBN 13 : 9780521869591
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods. N° de réf. du vendeur 9780521869591
Quantité disponible : 1 disponible(s)