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
Download:
IMEKO-TC7-2004-124.pdf
DOI:
-
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
 Back