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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
| 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 |