DocumentCode :
178787
Title :
Designing discrete sequential tests via mixed integer programming
Author :
Fauss, Michael ; Zoubir, Abdelhak M.
Author_Institution :
Signal Process. Group, Tech. Univ. Darmstadt, Darmstadt, Germany
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
3455
Lastpage :
3459
Abstract :
We show that the optimal design of non-randomized discrete sequential tests, i.e., tests whose test statistics take on only a countable number of states, can be modeled as a mixed integer linear problem. This is done by reformulating the difference equations describing the random walk on the integer lattice in terms of linear mixed integer constraints. We outline the general procedure and give a simple example to show how the proposed method can be used in practice.
Keywords :
integer programming; linear programming; statistical testing; difference equations; discrete sequential test design; integer lattice; linear mixed integer constraints; mixed integer linear programming problem; nonrandomized discrete sequential test optimal design; random walk; statistical testing; Difference equations; Linear programming; Optimization; Probability; Testing; Vectors; detection; mixed integer programming; random walk; sequential analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854242
Filename :
6854242
Link To Document :
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