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. Practical information is also included on how
to implement these methods in the programs S-PLUS and LOCFIT.
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