Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations

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

Azzalini, Adelchi

Hardcover

Series: Oxford Statistical Science, Book 18

General MathematicsGeneral Science

ISBN10: 0198523963
ISBN13: 9780198523963
Publisher: Oxford University Press
Published: Nov 13 1997
Pages: 204
Weight: 0.94
Height: 0.60 Width: 6.38 Depth: 9.42
Language: English
This book describes the use of smoothing techniques in statistics and includes both density estimation and nonparametric regression. Incorporating recent advances, it describes a variety of ways to apply these methods to practical problems. Although the emphasis is on using smoothing techniques to explore data graphically, the discussion also covers data analysis with nonparametric curves, as an extension of more standard parametric models. Intended as an introduction, with a focus on applications rather than on detailed theory, the book will be equally valuable for undergraduate and graduate students in statistics and for a wide range of scientists interested in statistical techniques.

The text makes extensive reference to S-Plus, a powerful computing environment for exploring data, and provides many S-Plus functions and example scripts. This material, however, is independent of the main body of text and may be skipped by readers not interested in S-Plus.

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