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Local Regression and Likelihood - Statistics and Computing Clive Loader 1999 edition
Local Regression and Likelihood - Statistics and Computing
Clive Loader
Separation of signal from noise is the most fundamental problem in data analysis, arising in such fields as: signal processing, econometrics, actuarial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, with extensions to local likelihood and density estimation.
304 pages, biography
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | July 30, 1999 |
| ISBN13 | 9780387987750 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 290 |
| Dimensions | 156 × 234 × 19 mm · 544 g |
| Language | English |