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Optimal Adaptive Designs for Delayed Response Models: Exponential Case

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mODa 6 — Advances in Model-Oriented Design and Analysis

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

Abstract

We propose a delayed response model for a Bernoulli 2-armed bandit. Patients arrive according to a Poisson process and their response times are exponential. We develop optimal solutions, and compare to previously suggested designs.

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References

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Authors
  1. J. Hardwick
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  2. R. Oehmke
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  3. Q. F. Stout
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Editor information

Editors and Affiliations

  1. Department of Statistics, The London School of Economics and Political Science, Houghton Street, London, WC2A 2AE, UK

    Anthony C. Atkinson

  2. Institute of Statistics, Vienna University of Economics and Business Administration, Augasse 2-6, 1090, Vienna, Austria

    Peter Hackl  & Werner G. Müller  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Hardwick, J., Oehmke, R., Stout, Q.F. (2001). Optimal Adaptive Designs for Delayed Response Models: Exponential Case. In: Atkinson, A.C., Hackl, P., Müller, W.G. (eds) mODa 6 — Advances in Model-Oriented Design and Analysis. Contributions to Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57576-1_14

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  • DOI: https://doi.org/10.1007/978-3-642-57576-1_14

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1400-2

  • Online ISBN: 978-3-642-57576-1

  • eBook Packages: Springer Book Archive

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