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

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  • Idioma: Inglés

    Editorial: Cambridge University Press, 2012

    0521689732 / 9780521689731

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    Librería: Anybook.com, Lincoln, Reino UnidoAnybook.com

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    Condición: Usado - Aceptable

    EUR 22,33

    Envío por EUR 15,34 
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    Cantidad 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,500grams, ISBN:9780521689731. …

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2012

    0521689732 / 9780521689731

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    Librería: Anybook.com, Lincoln, Reino UnidoAnybook.com

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    Condición: Usado - Aceptable

    EUR 22,57

    Envío por EUR 15,34 
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    Cantidad 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. …

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2012

    0521689732 / 9780521689731

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    Librería: AMM Books, Gillingham, KENT, Reino UnidoAMM Books

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    Condición: Nuevo

    EUR 28,56

    Envío por EUR 12,93 
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    Cantidad disponible: 1 disponible

    Paperback. Condición: New. In stock ready to dispatch from the UK.

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2011

    0521689732 / 9780521689731

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Condición: Nuevo

    EUR 46,68

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    Cantidad disponible: Más de 20 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2011

    0521689732 / 9780521689731

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    Librería: bmyguest books, Toronto, ON, Canadabmyguest books

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    Condición: Usado - Bueno

    EUR 36,34

    Envío por EUR 13,32 
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    Cantidad disponible: 1 disponible

    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.…

  • Idioma: Inglés

    Editorial: Cambridge Univ Pr, 2012

    0521689732 / 9780521689731

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    Condición: Nuevo

    EUR 60,39

    Envío por EUR 11,77 
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    Cantidad disponible: 2 disponibles

    Paperback. Condición: Brand New. 232 pages. 8.90x6.00x0.70 inches. In Stock.

  • Idioma: Inglés

    Editorial: Cambridge University Press Feb 2012, 2012

    0521689732 / 9780521689731

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 60,72

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    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.…

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2011

    0521689732 / 9780521689731

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: Nuevo

    EUR 46,74

    Envío por EUR 48,99 
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    Cantidad disponible: Más de 20 disponibles

    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 .

  • Idioma: Inglés

    Editorial: Cambridge University Press, Cambridge, 2011

    0521689732 / 9780521689731

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    • Impresión bajo demanda

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Condición: Nuevo

    EUR 56,95

    Envío por EUR 43,54 
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    Cantidad 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.…