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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.
|Glasgow Author(s) Enlighten ID:||Titterington, Prof D and Ford, Prof Ian|
|Authors:||Ford, I., Titterington, D., and Wu, C.F.J.|
|College/School:||College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > Robertson Centre|
?? 20206000 ??
College of Science and Engineering > School of Mathematics and Statistics > Statistics
|Publisher:||Oxford University Press|