Isbn: 9780521689731 - an information theoretic approach to econometrics (9 resultados)

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Librería: Anybook.com, Lincoln, Reino UnidoAnybook.com
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EUR 22,33
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Condición: 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. …

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Librería: Anybook.com, Lincoln, Reino UnidoAnybook.com
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 22,57
Envío por EUR 15,34Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Condición: 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. …

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Librería: AMM Books, Gillingham, KENT, Reino UnidoAMM Books
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EUR 28,56
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Paperback. Condición: New. In stock ready to dispatch from the UK.

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 46,68
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Condición: New.

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Librería: bmyguest books, Toronto, ON, Canadabmyguest books
Contactar con el vendedorVendedor de 4 estrellasCondición: Usado - Bueno
EUR 36,34
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Soft cover. Condición: Very Good. Clean, Nearly As New. With No Remarks Or Highlighting Inside. 232 Pages With The Index. PaperbackWe 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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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 60,39
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Paperback. Condición: Brand New. 232 pages. 8.90x6.00x0.70 inches. In Stock.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 60,72
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Taschenbuch. Condición: 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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Librería: moluna, Greven, Alemaniamoluna
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EUR 46,74
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Kartoniert / Broschiert. Condición: 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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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 56,95
Envío por EUR 43,54Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…