This textbook for a graduate level introductory course on data smoothing covers series estimators, kernel estimators, smoothing splines, and leastsquares splines. The new edition deletes most of the asymptotic theory for smoothing splines and smoothing spline variants, and adds order selection for hierarchical models, estimation in partially linear models, polynomialtrigonometric regression, new results on bandwidth selection, and locally linear regression. The first edition was published as (1988).

Authors: Eubank R.L.  Pages: 356 Year: 1999 
Tags: nonparametric smoothing regression spline   Customers who bought this item also bought: 