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Maximum Penalized Likelihood Estimation: Volume II: Regression - Springer Series in Statistics Paul P. Eggermont 2009 edition
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Maximum Penalized Likelihood Estimation: Volume II: Regression - Springer Series in Statistics
Paul P. Eggermont
Unique blend of asymptotic theory and small sample practice through simulation experiments and data analysis. Novel reproducing kernel Hilbert space methods for the analysis of smoothing splines and local polynomials.
592 pages, black & white illustrations
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2009. gada 6. jūlijs |
| Oriģinālā izdošanas datums | 2008 |
| ISBN13 | 9780387402673 |
| Izdevēji | Springer-Verlag New York Inc. |
| Lapas | 572 |
| Izmēri | 158 × 241 × 46 mm · 997 g |
| Valoda | Angļu |
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