<P>This book concentrates on the statistical aspects of nonparametric regression smoothing
from an applied point of view. The methods covered in this text can be used in biometry,
econometrics, engineering and mathematics. The two central problems discussed are
the choice of smoothing parameter and the construction of con dence bands in practice.
Various smoothing methods among them splines and orthogonal polynomials are presented
and discussed in their qualitative aspects. To simplify the exposition kernel smoothers areinvestigated in greater detail. It is argued that all smoothing methods are in an asymptotic
sense essentially equivalent to kernel smoothing. So it seems legitimate to expose the deeper
problems of smoothing parameter selection and con dence bands for that method that is
mathematically convenient and can be most easily understood on an intuitive level.</P>

[此贴子已经被作者于2005-1-20 8:52:05编辑过]