Isbn: 9780521869591 - an information theoretic approach to econometrics (12 risultati)

Condizione: New.

Condizione: New. Intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods. Num Pages: 248 pages, 13 b/w illus. 7 tables. BIC Classification: KCH. Category: (U) Tertiary Education (US: College). Dimension: 228 x 152 x 18. Weight in Grams: 460. . 2012. Illustrated. hardcover. . . . .…

Condizione: New. In English.

Condizione: New. pp. 248.

Condizione: New. Intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods. Num Pages: 248 pages, 13 b/w illus. 7 tables. BIC Classification: KCH. Category: (U) Tertiary Education (US: College). Dimension: 228 x 152 x 18. Weight in Grams: 460. . 2012. Illustrated. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Condizione: Brand New. 232 pages. 9.25x6.14x0.83 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Condizione: New. Print on Demand pp. 248 13 Illus.

Hardcover. Condizione: 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.…

Condizione: New. PRINT ON DEMAND pp. 248.

Gebunden. Condizione: 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 .…

Buch. Condizione: Neu. An Information Theoretic Approach to Econometrics | George G. Judge (u. a.) | Buch | Gebunden | Englisch | 2012 | Cambridge University Press | EAN 9780521869591 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …