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Modelling response models in software

  • Conference paper
Selecting Models from Data

Part of the book series: Lecture Notes in Statistics ((LNS,volume 89))

Abstract

We describe our software design and implementation of a wide variety of response models, which model the values of a response variable as an interpretable function of explanatory variables. A distinguishing characteristic of our approach is the attention given to building software abstractions which closely mimic their statistical counterparts.

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Author information

Authors and Affiliations

  1. Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, N2L 3G1, Canada

    D. G. Anglin & R. W. Oldford

Authors
  1. D. G. Anglin
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  2. R. W. Oldford
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Editor information

Editors and Affiliations

  1. Ames Research Center, NASA, Mailstop 269-2, 94035, Moffet Field, CA, USA

    P. Cheeseman

  2. Department of Statistics and Actuarial Science, University of Waterloo, N2L 3G1, Waterloo Ontario, Canada

    R. W. Oldford

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© 1994 Springer-Verlag New York, Inc.

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Anglin, D.G., Oldford, R.W. (1994). Modelling response models in software. In: Cheeseman, P., Oldford, R.W. (eds) Selecting Models from Data. Lecture Notes in Statistics, vol 89. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2660-4_42

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  • DOI: https://doi.org/10.1007/978-1-4612-2660-4_42

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94281-0

  • Online ISBN: 978-1-4612-2660-4

  • eBook Packages: Springer Book Archive

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