Softcover in excellent, next-to-pristine condition (slightest hint of handling, slight pencil price erasure on the endpaper, otherwise unmarked). 265 pages. [15oz].

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Bibliographic Details

Title

Statistical Theory and Computational Aspects of Smoothing: Proceedings of the COMPSTAT '94 Satellite Meeting held in Semmering, Austria, 27-28 August 1994 (Contributions to Statistics)

Publisher

Physica

Publication Date

1996

Language

English

ISBN 10

3790809306

ISBN 13

9783790809305

Binding

Soft cover

Condition

Fine

Book Type

Book

Seller catalogs

Mathematics

About this title

Synopsis

One of the main applications of statistical smoothing techniques is nonparametric regression. For the last 15 years there has been a strong theoretical interest in the development of such techniques. Related algorithmic concepts have been a main concern in computational statistics. Smoothing techniques in regression as well as other statistical methods are increasingly applied in biosciences and economics. But they are also relevant for medical and psychological research. Introduced are new developments in scatterplot smoothing and applications in statistical modelling. The treatment of the topics is on an intermediate level avoiding too much technicalities. Computational and applied aspects are considered throughout. Of particular interest to readers is the discussion of recent local fitting techniques.

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I opened my first bookstore in Davis CA in 1985, and started selling online in 1998. I've sold about 50,000 books online, with fewer than 100 returns. I take book descriptions seriously--it's an art--and photos, if not initially available, need only to be requested. I've been away from abebooks a few years, but now am back, with vastly increased shelf space, and plan to double the inventory (while maintaining the erstwhile quality). Non-fiction is my bailiwick, the more specialized and obscure the better. So, we share an interest in specific knowledge, and I will cater to your sphere of knowing as only a 40-year book nerd can. Charles

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