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Uncertainty interval evaluation using the Chi-square and Fisher distributions in the measurement process

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Referring to the Guide to the Expression of Uncertainty in Measurement (GUM), the paper proposes a theoretical contribution to assess the uncertainty interval, with relative confidence level, in the case of n successive observations. The approach is based on the Chi-square and Fisher distributions and the validity is proved by a numerical example. For a more detailed study of the uncertainty evaluation, a model for the process variability has been also developed.
Rocznik
Strony
195--204
Opis fizyczny
Bibliogr. 10 poz., tab., wykr.
Twórcy
autor
autor
autor
Bibliografia
  • [1] BIPM, IEC, IFCC, ISO, IUPAC, IUPAP, OIML: Guide to the Expression of Uncertainty in Measurement. International Organization for Standardization, Geneva, Switzerland, 1995,
  • [2] BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, OIML: Evaluation of measurement data - Supplement 1 to the “Guide to the expression of uncertainty in measurement” - Propagation of distributions using a Monte Carlo method. Joint Committee for Guides in Metrology, Bureau International des Poids et Mesures, JCGM 101, 2008.
  • [3] M. Catelani, A. Zanobini, L.Ciani: “Introduction to the t and chi-square distribution for a more accurate evaluation of the measure of the Word Error Rate in Analog-to-Digital Converters”. Metrol. Meas. Syst., no. 4, vol. XV, 2008, pp. 483- 488.
  • [4] G.E.P. Box, W.G. Hunter, J.S. Hunter: Statistics for experimenters. John Wiley, New York, 1978.
  • [5] M. Catelani, A. Zanobini, L.Ciani: “Statistical Analysis Of The Word Error Rate Measurement In Analog-To-Digital Converters”. Proc. of XIX IMEKO World Congress Fundamental and Applied Metrology, Lisbon, Portugal, September 6-11, 2009, pp. 694-697.
  • [6] M. Kendall: Kendall’s Advanced Theory of Statistics. Griffin & Company Limited, London, vol. 1, 2, 3, 1987, 1979, 1983.
  • [7] J.S. Bendat, A.G. Piersol: Random data. Analysis and Measurament Procedures. John Wiley & Sons, New York, 1986.
  • [8] C.F. Dietrich: Uncertainty, Calibration and Probability. The Statistics of Scientific and Industrial Measurament. Adam Higler, Bristol, 1991.
  • [9] W. Navidi: Statistics for Engineers and Scientists. McGraw Hill, New York, 2007.
  • [10] A. Papoulis: Probability and Statistics. Englewood Cliffs, Prentice-Hall, 1990.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW1-0065-0005
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