Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The
Local Polynomial Modelling and its Applications
โ Scribed by J. Fan, I. Gijbels (auth.)
- Publisher
- Springer US
- Year
- 1996
- Tongue
- English
- Leaves
- 354
- Series
- Monographs on Statistics and Applied Probability 66
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content:
Front Matter....Pages i-xv
Introduction....Pages 1-12
Overview of existing methods....Pages 13-56
Framework for local polynomial regression....Pages 57-107
Automatic determination of model complexity....Pages 109-158
Applications of local polynomial modelling....Pages 159-216
Applications in nonlinear time series....Pages 217-261
Local polynomial regression for multivariate data....Pages 263-306
Back Matter....Pages 307-341
๐ SIMILAR VOLUMES
Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this text. The aim of these nonparametric methods is to relax assumptions on the form of a regression function, and to let data search for a suitable function that describes the data well. The
Contains presentations from the international workshop on local cohomology held in Guanajuato, Mexico.
Contains presentations from the international workshop on local cohomology held in Guanajuato, Mexico.