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Using recursive algorithms for the efficient identification of smoothing spline ANOVA models

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  • Marco Ratto

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  • Andrea Pagano

    ()

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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s10182-010-0148-8
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    Bibliographic Info

    Article provided by Springer in its journal AStA Advances in Statistical Analysis.

    Volume (Year): 94 (2010)
    Issue (Month): 4 (December)
    Pages: 367-388

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    Handle: RePEc:spr:alstar:v:94:y:2010:i:4:p:367-388

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    Web page: http://www.springerlink.com/link.asp?id=112915

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    Related research

    Keywords: Smoothing spline ANOVA models; Recursive algorithms; Backfitting; Sensitivity analysis;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Robert J. Hodrick & Edward Prescott, 1981. "Post-War U.S. Business Cycles: An Empirical Investigation," Discussion Papers 451, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    2. Tobias Wagner & Christoph Bröcker & Nicolas Saba & Dirk Biermann & Anton Matzenmiller & Kurt Steinhoff, 2010. "Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements," AStA Advances in Statistical Analysis, Springer, vol. 94(4), pages 389-404, December.
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    Cited by:
    1. Sigal Levy & David Steinberg, 2010. "Computer experiments: a review," AStA Advances in Statistical Analysis, Springer, vol. 94(4), pages 311-324, December.
    2. Sonja Kuhnt & David Steinberg, 2010. "Design and analysis of computer experiments," AStA Advances in Statistical Analysis, Springer, vol. 94(4), pages 307-309, December.

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