Nonparametric Curve Estimation: Methods, Theory, and Applications

This book gives a systematic, comprehensive, and unified account of mo dern nonparametric statistics of density estimation, nonparametric reg ression, filtering signals, and time series analysis. The prerequisite s are intermediate calculus and introductory probability. Virtually ev ery claim and development mentioned in the book are illustrated with g raphs which are available for the reader to reproduce and to modify, m aking the material fully transparent and allow one to study it interac tively. This feature, together with the intuitive and informal style o f presentation, makes it extremely readable and appealing to novices, ranging from graduate students to mature researchers venturing for the first time into this area. Sam Efromovich is Professor of Mathematics and Statistics at the University of New Mexico.