Nonparametric Regression and Spline Smoothing
Randall L. Eubank
This textbook for a graduate level introductory course on data smoothing covers series estimators, kernel estimators, smoothing splines, and least-squares 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, polynomial-trigonometric regression, new results on bandwidth selection, and locally linear regression. The first edition was published as (1988).
Categories:
Year:
1999
Edition:
2nd ed
Publisher:
Marcel Dekker
Language:
english
Pages:
356
ISBN 10:
0824793374
ISBN 13:
9780824793371
Series:
Statistics, textbooks and monographs 157
File:
DJVU, 2.66 MB
IPFS:
,
english, 1999