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An Information Theoretic Approach to Econometrics Judge, George G. (University of California, Berkeley)
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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 |
