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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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2011. gada 12. decembris |
| ISBN13 | 9780521869591 |
| Izdevēji | Cambridge University Press |
| Lapas | 248 |
| Izmēri | 162 × 236 × 20 mm · 470 g |
| Valoda | Angļu |
