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GBMs: GLMs with bilinear terms

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COMPSTAT

Abstract

Generalized bilinear models can hide under a variety of denominations. These correspond broadly to two types of statistical activities which are often combined: exploratory analysis and explicit modeling. It turns out that the wide diversity of correlative methods can be considered as minor variations of a single model which is introduced in the standard framework set for generalized linear models. The paper presents this unifying approach and illustrates some its strengths.

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Author information

Authors and Affiliations

  1. Laboratoire de Statistique et Probabilités, UMR C5583, Université Paul Sabatier, F-31062, Toulouse, France

    Antoine de Falguerolles

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  1. Antoine de Falguerolles
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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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de Falguerolles, A. (2000). GBMs: GLMs with bilinear terms. In: Bethlehem, J.G., van der Heijden, P.G.M. (eds) COMPSTAT. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57678-2_5

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  • DOI: https://doi.org/10.1007/978-3-642-57678-2_5

  • 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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