
Accession Number : AD0770761
Title : Optimal Search Strategies for Wiener Processes,
Corporate Author : PURDUE UNIV LAFAYETTE IND DEPT OF STATISTICS
Personal Author(s) : Klimko,E. M. ; Yackel,James
Report Date : SEP 1971
Pagination or Media Count : 24
Abstract : Let n independent Wiener processes be given. The authors assume the following information is known about these processes; one process has drift mu t, the remaining n  1 processes have drift zero, all n processes have common variance (sigma squared) t, and we assume a prior probability distribution over the n processes is given to identify the process with drift mu t. A searcher is permitted to observe the increments of one process at a time with the object of identifying (with probability 1  epsilon of correct selection) the process with drift mu t. The authors define a natural class of search strategies and show that the strategy within this class which minimizes the total search time is the strategy which, whenever possible, searches the process which currently has the largest posterior proabability of being the one with drift mu t. (Author)
Descriptors : *Search theory, *Stochastic processes, Analysis of variance, Probability, Theorems
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE