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Introduction: GLIM and Generalized Linear Models

  • Conference paper
Generalized Linear Models

Part of the book series: Lecture Notes in Statistics ((LNS,volume 32))

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Summary

This paper discusses the key role of the GLIM statistical package in the development of generalized linear models. With the release of GLIM 3.77, it is an appropriate time to record the key role of members of the GLIM Working Party in developing GLIM. The use of glm’s as a technique for data analysis is illustrated by reference to arising diagnostic procedures which arise naturally from the glm approach.

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Author information

Authors and Affiliations

  1. Polytechnic of North London, UK

    Robert Gilchrist

Authors
  1. Robert Gilchrist
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Editor information

Editors and Affiliations

  1. Department of Mathematics, Statistics and Computing, The Polytechnic of North London, Holloway Road, London, N7 8DB, UK

    Robert Gilchrist , Brian Francis  & Joe Whittaker ,  & 

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© 1985 Springer-Verlag Berlin Heidelberg

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Gilchrist, R. (1985). Introduction: GLIM and Generalized Linear Models. In: Gilchrist, R., Francis, B., Whittaker, J. (eds) Generalized Linear Models. Lecture Notes in Statistics, vol 32. Springer, New York, NY. https://doi.org/10.1007/978-1-4615-7070-7_1

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  • DOI: https://doi.org/10.1007/978-1-4615-7070-7_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-96224-5

  • Online ISBN: 978-1-4615-7070-7

  • eBook Packages: Springer Book Archive

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