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Non-parametric regression and density estimation under control of modality

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COMPSTAT

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Abstract

Most available methods in non-parametric regression and density estimation are not directly concerned with modality. New methods are presented that avoid artifacts and yield estimates that have asymptotically the correct modality.

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Author information

Authors and Affiliations

  1. Department of Mathematics, University of Essen, 45117, Essen, Germany

    P. L. Davies & A. Kovac

Authors
  1. P. L. Davies
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  2. A. Kovac
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Editor information

Editors and Affiliations

  1. Department of Statistical Methods, Statistics Netherlands, P.O. Box 4000, 2270 JM, Voorburg, The Netherlands

    Jelke G. Bethlehem

  2. Faculty of Social Sciences, Department of Methodology and Statistics, Utrecht University, P.O. Box 80140, 3508 TC, Utrecht, The Netherlands

    Peter G. M. van der Heijden

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© 2000 Springer-Verlag Berlin Heidelberg

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Davies, P.L., Kovac, A. (2000). Non-parametric regression and density estimation under control of modality. In: Bethlehem, J.G., van der Heijden, P.G.M. (eds) COMPSTAT. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57678-2_30

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  • DOI: https://doi.org/10.1007/978-3-642-57678-2_30

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1326-5

  • Online ISBN: 978-3-642-57678-2

  • eBook Packages: Springer Book Archive

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