Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373167
Title: Bayesian sequential methods for binomial and multinomial selection problems
Author: Madhi, Saad Abed
ISNI:       0000 0001 3616 1891
Awarding Body: Keele University
Current Institution: Keele University
Date of Award: 1986
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Abstract:
The thesis deals with binomial and multinomial sequential selection problems. Optimal sequential sampling schemes are derived by using dynamic programming in conjunction with loss functions and sampling costs and to minimize expected sample sizes. Comparisons are carried out with sampling schemes where observations are taken in blocks or groups and with fixed sample size procedures. Several suboptimal designs are suggested and numerical comparisons are made under several performance characteristics which are obtained exactly and by using Monte Carlo simulation. The performance of the procedures is studied when the parameters are fixed and where they are generated from particular prior distributions.
Supervisor: Jones, P. W. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.373167  DOI: Not available
Keywords: QA Mathematics
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