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An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2011
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Hardcover. Condition: As New. In fine, clean condition, with a remainder mark, clean pages.
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An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2011
ISBN 10: 0521689732 ISBN 13: 9780521689731
Language: English
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.
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An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2012
ISBN 10: 0521689732 ISBN 13: 9780521689731
Language: English
Paperback. Condition: Very Good. Unread. In stock ready to dispatch from the UK.
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An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2011
ISBN 10: 0521689732 ISBN 13: 9780521689731
Language: English
Condition: New.
-
An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2012
ISBN 10: 0521689732 ISBN 13: 9780521689731
Language: English
Paperback. Condition: New. In stock ready to dispatch from the UK.
-
Paperback. Condition: Brand New. 232 pages. 8.90x6.00x0.70 inches. In Stock.
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An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2011
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Condition: New.
-
An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2011
ISBN 10: 0521689732 ISBN 13: 9780521689731
Language: English
Condition: 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 .
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An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2011
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Condition: New.
-
Information Theoretic Approach to Econometrics (Hardcover)
Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Hardcover. Condition: 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.
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An Information Theoretic Approach to Econometrics
Published by Cambridge University Press CUP, 2011
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Condition: New. pp. 248.
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An Information Theoretic Approach to Econometrics
Published by Cambridge University Press Dez 2011, 2011
ISBN 10: 0521689732 ISBN 13: 9780521689731
Language: English
Taschenbuch. Condition: 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.
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Hardcover. Condition: Brand New. 232 pages. 9.25x6.14x0.83 inches. In Stock.
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An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2011
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Buch. Condition: 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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Paperback. Condition: Brand New. 232 pages. 8.90x6.00x0.70 inches. In Stock. This item is printed on demand.
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An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2011
ISBN 10: 0521689732 ISBN 13: 9780521689731
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 32.34
£ 17.29 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 654.
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Hardcover. Condition: Brand New. 232 pages. 9.25x6.14x0.83 inches. In Stock. This item is printed on demand.
-
An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2011
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 79.23
£ 15.65 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 490.
-
Information Theoretic Approach to Econometrics (Hardcover)
Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Hardcover. Condition: 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2011
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Condition: New. Print on Demand pp. 248 13 Illus.
-
Information Theoretic Approach to Econometrics (Hardcover)
Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Hardcover. Condition: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
-
An Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2011
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Condition: New. PRINT ON DEMAND pp. 248.
-
Information Theoretic Approach to Econometrics
Published by Cambridge University Press, 2012
ISBN 10: 0521869595 ISBN 13: 9780521869591
Language: English
Condition: 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 .
