Walker, Stephen G.
(2003)
*
How many samples? A Bayesian nonparametric approach.
*
Journal of the Royal Statistical Society: Series D (The Statistician),
52
(4).
pp. 475-482.
ISSN 0039-0526.
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## Abstract

The paper considers a Bayesian nonparametric decision theoretic approach to sample size calculations, where the ultimate goal is to make a terminal action from a finite set of actions. This terminal action is made via the maximization of expected utility, the maximization being made with respect to a probability measure on the states of nature. The probability measure depends on the amount of information, i.e. the number of samples collected. It is the prior in the case of no samples and the posterior when samples have been taken.

Item Type: | Article |
---|---|

Subjects: | Q Science > QA Mathematics (inc Computing science) |

Divisions: | Faculties > Sciences > School of Mathematics Statistics and Actuarial Science > Statistics |

Depositing User: | Judith Broom |

Date Deposited: | 12 Sep 2008 12:56 UTC |

Last Modified: | 28 May 2019 13:47 UTC |

Resource URI: | https://kar.kent.ac.uk/id/eprint/10579 (The current URI for this page, for reference purposes) |

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