Abstract
Sequential experiments, introduced in Chapter 5, call for design decisions as data are collected. Optional stopping, in which the data are observed sequentially and used to decide when to terminate the experiment, would be the simplest example. A sequential approach can lead to increased efficiency, or it may achieve objectives not possible with a classical approach, but there are technical, practical, and philosophical issues that deserve attention.
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© 2009 Springer New York
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Keener, R.W. (2009). Sequential Methods. In: Theoretical Statistics. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-93839-4_20
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DOI: https://doi.org/10.1007/978-0-387-93839-4_20
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Publisher Name: Springer, New York, NY
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Online ISBN: 978-0-387-93839-4
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