Acceso abierto

A Formalism for Expressing the Probability Density Functions of Interrelated Quantities


Cite

[1] Lira, I., Grientschnig, D. (2010). Bayesian assessment of uncertainty in metrology: A tutorial. Metrologia, 47, R1-R14.10.1088/0026-1394/47/3/R01Search in Google Scholar

[2] BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, OIML (2008). Evaluation of measurement data -Guide to the Expression of Uncertainty inMeasurement. JCGM 100:2008 (GUM 1995 with minor corrections).Search in Google Scholar

[3] BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, OIML (2008). Evaluation of measurement data -Supplement 1 to the ‘Guide to the expression ofuncertainty in measurement’ - Propagation ofdistributions using a Monte Carlo method. JCGM 101:2008.Search in Google Scholar

[4] Barbato, G., Genta, G., Germak, A., Levi, R., Vicario G. (2012). Treatment of experimental data with discordant observations: Issues in empirical identification of distribution. Measurement ScienceReview, 12, 133-140.10.2478/v10048-012-0020-ySearch in Google Scholar

[5] Kaplan, W. (1984). Advanced Calculus (3rd ed.). Reading, MA: Addison-Wesley.Search in Google Scholar

[6] Jeffreys, H., Jeffreys, B.S. (1988). Methods ofMathematical Physics (3rd ed.). Cambridge, England: Cambridge University Press.Search in Google Scholar

[7] Possolo, A., Toman, B., Estler, T. (2009). Contribution to a conversation about the Supplement 1 to the GUM. Metrologia, 46, L1-L7.10.1088/0026-1394/46/1/N01Search in Google Scholar

[8] Gelman, A. (2004). Parameterization and Bayesian modeling. Journal of the American StatisticalAssociation, 99, 537-545.10.1198/016214504000000458Search in Google Scholar

[9] Zwickl, D.J., Holder, M.T. (2004). Model parameterization, prior distributions, and the general time-reversible model in Bayesian phylogenetics. Systematic Biology, 53, 877-888.10.1080/1063515049052258415764557Search in Google Scholar

[10] Elster, C., Toman, B. (2009). Bayesian uncertainty analysis under prior ignorance of the measurand versus analysis using the Supplement 1 to the Guide: A comparison. Metrologia, 46, 261-266.10.1088/0026-1394/46/3/013Search in Google Scholar

[11] Benedict, R.P. (1980). Fundamentals of Pipe Flow. New York: John Wiley.Search in Google Scholar

[12] Li, Z., Sun, Z. (2013). Development of the vortex mass flowmeter with wall pressure measurement. Measurement Science Review, 13, 20-24.10.2478/msr-2013-0002Search in Google Scholar

[13] Lira, I. (2009). The probability distribution of a quantity with given mean and variance. Metrologia, 46, L27-L28.10.1088/0026-1394/46/6/L01Search in Google Scholar

[14] BIPM, IEC, IFCC, ILAC, ISO, IUPAC, IUPAP, OIML (2011). Evaluation of measurement data -Supplement 2 to the ‘Guide to the expression ofuncertainty in measurement’ - Extension to anynumber of output quantities. JCGM 102:2011.Search in Google Scholar

eISSN:
1335-8871
Idioma:
Inglés
Calendario de la edición:
6 veces al año
Temas de la revista:
Engineering, Electrical Engineering, Control Engineering, Metrology and Testing