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Local Regression and Likelihood - Statistics and Computing Clive Loader Softcover reprint of the original 1st ed. 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.
290 pages, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | September 11, 2013 |
| ISBN13 | 9781475772586 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 290 |
| Dimensions | 155 × 235 × 17 mm · 435 g |
| Language | English |
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