Statistical Theory and Computational Aspects of Smoothing

Michael Schimek

ISBN 10: 3790809306 / ISBN 13: 9783790809305

Published by Physica-Verlag HD Mai 1996, 1996

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 276 pp. Englisch.

Seller Inventory # 9783790809305

Bibliographic Details

• Title: Statistical Theory and Computational Aspects of Smoothing
• Publisher: Physica-Verlag HD Mai 1996
• Publication Date: 1996
• Language: English
• ISBN 10: 3790809306
• ISBN 13: 9783790809305
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 16D millimeters 235 millimeters width by 155 millimeters height by 16 millimeters depth
• Weight: 423 grams

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.