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dc.contributor.advisor Lindley, D. V.
dc.contributor.author Barnett, B. N.
dc.date.accessioned 2010-04-26T13:56:37Z
dc.date.available 2010-04-26T13:56:37Z
dc.date.issued 1962
dc.identifier.citation barnett, B. N. 91962) 'Problems in probability theory : properties of decision boundaries of some Bayesian sequential sampling procedures obtained by dynamic programming. PhD thesis, Institute of mathematics and Physics (Statistics), Aberystwyth University en
dc.identifier.uri http://hdl.handle.net/2160/4603
dc.description.abstract Some sequential sampling problems where there in one unknown parameter in a generating stochastic process are considered by Bayesian concepts with the aid of Dynamic Programming equations. Some properties of the boundaries between the sets of points in the observation sample space corrosponding to each terminal decision and the continuation decision are found. The economics of the problems are considered by using the Bayesian idea of a prior distribution with accompanying utilities for the possible decisions and a cost of sampling. Problems whose sample space consist of an enumerable number of points are considered first. The last part considers some problems with a non-enumerable sample space and the properties of the boundaries are much more difficult to obtain. en
dc.description.sponsorship D.S.I.R en
dc.language.iso en en
dc.publisher Aberystwyth University en
dc.title Problems in probability theory : properties of decision boundaries of some Bayesian sequential sampling procedures obtained by dynamic programming en
dc.type Text en
dc.type.publicationtype doctoral thesis en


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