Local Regression and Likelihood (Statistics and Computing) (1999. XIV, 290 p. w. 68 figs. 24,5 cm)

Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation.