• 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