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MINIMIZATION OF UNCERTAINTIES IN MEASUREMENTS WITH REPEATED OBSERVATIONS

Igor Zakharov, Natalya Shtefan
  • Abstract:
    Algorithms minimizing A-type uncertainties when processing results of measurements with repeated observations distributed according to the laws unlike the normal one are given. A comparative estimation of the developed and traditional algorithms is cited.
  • Keywords:
    uncertainty in measurements, abnormal law of distribution, Monte-Carlo method
  • DOI:
    _unreg_tc7-2004.124

Event details:

  • IMEKO TC:
    TC7
  • Event name:
    TC7 Symposium 2004
  • Title:

    10th Symposium on Advances of Measurement Science

  • Place:
    St. Petersburg, RUSSIA
  • Time:
    30 June 2004 - 02 July 2004