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Bootstrap Goodness-of-Link Testing in Generalized Linear Models

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Statistical Modelling

Part of the book series: Lecture Notes in Statistics ((LNS,volume 57))

Summary

Bootstrap methodology is used to compare the fit of generalized linear models with different link functions to binary response data. The difference in deviance between two non-nested models is used as a test statistic. For illustrative purposes current status age at menarche data are reanalysed.

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Author information

Authors and Affiliations

  1. University of Southampton, S09 5NH, Southampton, UK

    Michael J. Cole & John W. McDonald

Authors
  1. Michael J. Cole
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  2. John W. McDonald
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Editor information

Editors and Affiliations

  1. Istituto di Biometria e Statistica Medica, Via Venezian, 1, 20133, Milano, Italy

    Adriano Decarli

  2. Centre for Applied Statistics, Fylde College, Lancaster University, LA1 4YF, Lancaster, UK

    Brian J. Francis

  3. Polytechnic of North London, Holloway Road, N7 8DB, London, UK

    Robert Gilchrist

  4. Insitut für Statistik, Universität Innsbruck, Innrain 52, 6020, Innsbruck, Austria

    Gilg U. H. Seeber

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© 1989 Springer-Verlag Berlin Heidelberg

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Cole, M.J., McDonald, J.W. (1989). Bootstrap Goodness-of-Link Testing in Generalized Linear Models. In: Decarli, A., Francis, B.J., Gilchrist, R., Seeber, G.U.H. (eds) Statistical Modelling. Lecture Notes in Statistics, vol 57. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3680-1_10

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  • DOI: https://doi.org/10.1007/978-1-4612-3680-1_10

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97097-4

  • Online ISBN: 978-1-4612-3680-1

  • eBook Packages: Springer Book Archive

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