Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations

Hardcover | September 1, 1997

byAdrian W. Bowman, Adelchi Azzalini

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The book describes the use of smoothing techniques in statistics, including both density estimation and nonparametric regression. Considerable advances in research in this area have been made in recent years. The aim of this text is to describe a variety of ways in which these methods can beapplied to practical problems in statistics. The role of smoothing techniques in exploring data graphically is emphasised, but the use of nonparametric curves in drawing conclusions from data, as an extension of more standard parametric models, is also a major focus of the book. Examples are drawnfrom a wide range of applications. The book is intended for those who seek an introduction to the area, with an emphasis on applications rather than on detailed theory. It is therefore expected that the book will benefit those attending courses at an advanced undergraduate, or postgraduate, level,as well as researchers, both from statistics and from other disciplines, who wish to learn about and apply these techniques in practical data analysis. The text makes extensive reference to S-Plus, as a computing environment in which examples can be explored. S-Plus functions and example scriptsare provided to implement many of the techniques described. These parts are, however, clearly separate from the main body of text, and can therefore easily be skipped by readers not interested in S-Plus.

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From the Publisher

The book describes the use of smoothing techniques in statistics, including both density estimation and nonparametric regression. Considerable advances in research in this area have been made in recent years. The aim of this text is to describe a variety of ways in which these methods can beapplied to practical problems in statistics...

Professor Adrian Bowman, Department of Statistics, University of Glasgow, Glasgow, G12 8QQ, Scotland, U.K. Tel: 0141-330- 4046, Fax: 0141-330-4814, E-mail: adrian@stats.gla.ac.uk Professor Adelchi Azzalini, Department of Statistical Sciences, University of Padova, Via S.Francesco 33, 35121 Padova, Italy Tel:0039-49-8274147, Fax: 0039-...
Format:HardcoverDimensions:204 pages, 9.21 × 6.14 × 0.59 inPublished:September 1, 1997Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0198523963

ISBN - 13:9780198523963

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Table of Contents

1. Density estimation for exploring data2. Density estimation for inference3. Nonparametric regression for exploring data4. Inference with nonparametric regression5. Checking parametric regression models6. Comparing regression curves and surfaces7. Time series data8. An introduction to semiparametric and additive modelsReferences

Editorial Reviews

There is a rich choice of examples, exercises, hints for further reading and S-Plus illustrations. Compared to the several other recent books in the area, the present monograph has the advantage of being introductory and practcial within a very reasonable number of pages.