Nonparametric Regression and Generalized Linear Models: A roughness penalty approach

1st Edition

P.J. Green, Bernard. W. Silverman

Chapman and Hall/CRC
Published May 1, 1993
Reference - 184 Pages
ISBN 9780412300400 - CAT# C0040
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability

For Instructors Request Inspection Copy

USD$180.00

Add to Wish List
FREE Standard Shipping!

Summary

In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the roughness penalty method and shows how this technique provides a unifying approach to a wide range of smoothing problems. The method allows parametric assumptions to be realized in regression problems, in those approached by generalized linear modelling, and in many other contexts.

The emphasis throughout is methodological rather than theoretical, and it concentrates on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. Some publicly available software is also discussed. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus.

This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students and other encountering the material for the first time.

Instructors

We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption.

Request an
e-inspection copy

Share this Title