Inference and sequential design

Ford, I. , Titterington, D. and Wu, C.F.J. (1985) Inference and sequential design. Biometrika, 72(3), pp. 545-551. (doi: 10.2307/2336726)

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Abstract

If an experiment is designed sequentially, repeated-sampling inference may not necessarily be made using distributional results that are valid for fixed designs. A few simple illustrative examples and alternative approaches are given. Sometimes the sequential nature of design can be ignored asymptotically. Links are forged with inference for stochastic processes and missing data problems.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Titterington, Professor D and Ford, Professor Ian
Authors: Ford, I., Titterington, D., and Wu, C.F.J.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Robertson Centre
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College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Biometrika
Publisher:Oxford University Press
ISSN:0006-3444
ISSN (Online):1464-3510

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