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Statistical Theory and Computational Aspects of Smoothing : Proceedings of the Compstat '94 Satellite Meeting Held in Semmering, Austria, 27-28 August, 1994 - Wolfgang Hdrdle

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Statistical Theory and Computational Aspects of Smoothing

Proceedings of the Compstat '94 Satellite Meeting Held in Semmering, Austria, 27-28 August, 1994

By: Wolfgang Hdrdle (Editor), Michael Schimek (Editor), Wolfgang Hardle (Editor)

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Paperback | 1 December 1995

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276 Pages

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23.39 x 15.6 x 1.47

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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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You Can Find This Book In

Non-Fiction Mathematics Calculus & Mathematical Analysis Functional Analysis & Transforms Probability & Statistics Science Science in General Maths for Scientists Engineering & Technology Technology in General Maths for Engineers Economics

Economic Theory & Philosophy Econometrics Economic Statistics Gardening Applied Mathematics Stochastics

A Personal View of Smoothing and Statistics	p. 1
Smoothing by Local Regression: Principles and Methods	p. 10
Variance Properties of Local Polynomials and Ensuing Modifications	p. 50
Comments	p. 80
Comments	p. 85
Comments	p. 88
Comments	p. 93
Rejoinder	p. 103
Rejoinder	p. 113
Rejoinder	p. 121
Robust Bayesian Nonparametric Regression	p. 128
The Invariance of Statistical Analysis with Smoothing Splines with Respect to the Inner Product in the Reproducing Kernel Hilbert Space	p. 149
A Note on Cross Validation for Smoothing Splines	p. 165
Some Comments on Cross-Validation	p. 178
Extreme Percentile Regression	p. 200
Mean and Dispersion Additive Models	p. 215
Interaction in Nonlinear Principal Components Analysis	p. 231
Nonparametric Estimation of Additive Separable Regression Models	p. 247
Table of Contents provided by Blackwell. All Rights Reserved.

Statistical Theory and Computational Aspects of Smoothing

Proceedings of the Compstat '94 Satellite Meeting Held in Semmering, Austria, 27-28 August, 1994

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

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