Name: Applied Smoothing Techniques for Data Analysis: The Kernel Approach With S-Plus Illustrations (Oxford Statistical Science Series) (en Inglés)
Price: 239140.00 CLP
Availability: InStock
Author: Adrian W Bowman; Adelchi Azzalini
ISBN: 9780198523963

portada Applied Smoothing Techniques for Data Analysis: The Kernel Approach With S-Plus Illustrations (Oxford Statistical Science Series) (en Inglés)

Formato

Libro Físico

Editorial

Oxford University Press

Autor

Adrian W Bowman; Adelchi Azzalini

Año

1997

Idioma

Inglés

N° páginas

208

Encuadernación

Tapa Dura

ISBN

0198523963

ISBN13

9780198523963

N° edición

Categorías

Matemáticas aplicadas

Applied Smoothing Techniques for Data Analysis: The Kernel Approach With S-Plus Illustrations (Oxford Statistical Science Series) (en Inglés)

Adrian W Bowman; Adelchi Azzalini (Autor) · Oxford University Press · Tapa Dura

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Reseña del libro "Applied Smoothing Techniques for Data Analysis: The Kernel Approach With S-Plus Illustrations (Oxford Statistical Science Series) (en Inglés)"

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.