Edité par Cambridge University Press, 2011
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
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Ajouter au panierHardcover. Etat : As New. In fine, clean condition, with a remainder mark, clean pages.
Edité par Cambridge University Press, 2011
ISBN 10 : 0521689732 ISBN 13 : 9780521689731
Langue: anglais
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Ajouter au panierSoft cover. Etat : 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.
Edité par Cambridge University Press, 2012
ISBN 10 : 0521689732 ISBN 13 : 9780521689731
Langue: anglais
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Ajouter au panierPaperback. Etat : Very Good. Unread. In stock ready to dispatch from the UK.
Edité par Cambridge University Press, 2012
ISBN 10 : 0521689732 ISBN 13 : 9780521689731
Langue: anglais
Vendeur : AMM Books, Gillingham, KENT, Royaume-Uni
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Edité par Cambridge University Press 12/12/2011, 2011
ISBN 10 : 0521689732 ISBN 13 : 9780521689731
Langue: anglais
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Ajouter au panierPaperback or Softback. Etat : New. An Information Theoretic Approach to Econometrics. Book.
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Ajouter au panierPaperback. Etat : Brand New. 232 pages. 8.90x6.00x0.70 inches. In Stock.
Edité par Cambridge University Press, 2011
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2011
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
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Edité par Cambridge University Press, 2011
ISBN 10 : 0521689732 ISBN 13 : 9780521689731
Langue: anglais
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Ajouter au panierEtat : New. 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 .
Edité par Cambridge University Press CUP, 2011
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
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Ajouter au panierEtat : New. pp. 248.
Edité par Cambridge University Press, Cambridge, 2011
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
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Ajouter au panierHardcover. 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 multiple locations in the US or from the UK, depending on stock availability.
Edité par Cambridge University Press Dez 2011, 2011
ISBN 10 : 0521689732 ISBN 13 : 9780521689731
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - 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.
Edité par Cambridge University Press, Cambridge, 2011
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 98,45
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Ajouter au panierHardcover. 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.
Edité par Cambridge University Press, Cambridge, 2011
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 91,55
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Ajouter au panierHardcover. 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.
EUR 126,59
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Ajouter au panierHardcover. Etat : Brand New. 232 pages. 9.25x6.14x0.83 inches. In Stock.
Edité par Cambridge University Press, 2011
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 123,99
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Ajouter au panierBuch. 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.
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Ajouter au panierPaperback. Etat : Brand New. 232 pages. 8.90x6.00x0.70 inches. In Stock. This item is printed on demand.
Edité par Cambridge University Press, 2011
ISBN 10 : 0521689732 ISBN 13 : 9780521689731
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 38,21
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 654.
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Ajouter au panierHardcover. Etat : Brand New. 232 pages. 9.25x6.14x0.83 inches. In Stock. This item is printed on demand.
Edité par Cambridge University Press, 2011
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
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Ajouter au panierEtat : New. Print on Demand pp. 248 13 Illus.
Edité par Cambridge University Press, 2011
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 93,62
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Ajouter au panierHardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 490.
Edité par Cambridge University Press, 2011
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 101,17
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 248.
Edité par Cambridge University Press, 2012
ISBN 10 : 0521869595 ISBN 13 : 9780521869591
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 100,06
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Ajouter au panierEtat : 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 .