この商品を友人に教える:
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
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2011年12月12日 |
| ISBN13 | 9780521689731 |
| 出版社 | Cambridge University Press |
| ページ数 | 248 |
| 寸法 | 154 × 228 × 13 mm · 340 g |
クリスマスプレゼントは1月31日まで返品可能です