Statistical Theory and Computational Aspects of Smoothing: Proceedings of the COMPSTAT ’94 Satellite Meeting held in Semmering, Austria, 27–28 August 1994

Author:   Wolfgang Härdle ,  Michael Schimek ,  W. Haerdle (Humboldt-Universitaet, Berlin, Germany)
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 1996
ISBN:  

9783790809305


Pages:   265
Publication Date:   15 May 1996
Format:   Paperback
Availability:   Out of stock   Availability explained
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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


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Author:   Wolfgang Härdle ,  Michael Schimek ,  W. Haerdle (Humboldt-Universitaet, Berlin, Germany)
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   Softcover reprint of the original 1st ed. 1996
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   0.427kg
ISBN:  

9783790809305


ISBN 10:   3790809306
Pages:   265
Publication Date:   15 May 1996
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

1 A Personal View of Smoothing and Statistics.- 2 Smoothing by Local Regression: Principles and Methods.- 3 Variance Properties of Local Polynomials and Ensuing Modifications.- 4 Comments.- 5 Comments.- 6 Comments.- 7 Comments.- 8 Rejoinder.- 9 Rejoinder.- 10 Rejoinder.- 11 Robust Bayesian Nonparametric Regression.- 12 The Invariance of Statistical Analyses with Smoothing Splines with Respect to the Inner Product in the Reproducing Kernel Hilbert Space.- 13 A Note on Cross Validation for Smoothing Splines.- 14 Some Comments on Cross-Validation.- 15 Extreme Percentile Regression.- 16 Mean and Dispersion Additive Models.- 17 Interaction in Nonlinear Principal Components Analysis.- 18 Nonparametric Estimation of Additive Separable Regression Models.

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