Springer Series in Statistics Smoothing Techniques: With Implementation in S

Type

Book

Authors

Hardle ( Hardle, Wolfgang )

ISBN 10

0387973672

ISBN 13

9780387973678

Tags

Probability & Statistics, Statistics

Series Name

Springer Series in Statistics

Description

The author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation. The application of these methods is discussed in terms of the S computing environment. Smoothing in high dimensions faces the problem of data sparseness. A principal feature of smoothing, the averaging of data points in a prescribed neighborhood, is not really practicable in dimensions greater than three if we have just one hundred data points. Additive models provide a way out of this dilemma; but, for their interactiveness and recursiveness, they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in great detail. - from Amzon

Number of Copies