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An Information Theoretic Approach to Econometrics Judge, George G. (University of California, Berkeley)
An Information Theoretic Approach to Econometrics
Judge, George G. (University of California, Berkeley)
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.
248 pages, 13 b/w illus. 7 tables
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 12 de diciembre de 2011 |
| ISBN13 | 9780521869591 |
| Editores | Cambridge University Press |
| Páginas | 248 |
| Dimensiones | 162 × 236 × 20 mm · 508 g |
| Lengua | Inglés |