This item is printed on demand - Print on Demand Titel. 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.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch.

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T�tulo

Statistical Theory and Computational Aspects of Smoothing

Editor

Physica-Verlag HD Mai 1996

Fecha de publicaci�n

1996

Idioma

Ingl�s

ISBN 10

3790809306

ISBN 13

9783790809305

Encuadernaci�n

Taschenbuch

Estado

Neu

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Sinopsis

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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