Measurand value estimation in nonlinear models: A comparison between two averaging methods

AMUEM 2008 - IEEE Workshop on Advanced Methods for Uncertainty Estimation Measurement Proceedings

Volumn , Issue , 2008, Pages 22-27

  Macii, D ^a   Mari, L ^b   Petri, D ^a  

^a UNIVERSITY OF TRENTO   (Italy)

^b CREMS Centre for Research on Health Economics Social and Health Care Management Carlo Cattaneo University LIUC   (Italy)

Author keywords

Foundations of measurement; Measurand value; Measurement uncertainty

Indexed keywords

ESTIMATION; MEASUREMENT THEORY;

AVERAG ING METHODS; ESTIMATION METHODS; FOUNDATIONS OF MEASUREMENT; GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT; INPUT QUANTITIES; MEASURAND; MEASURAND VALUE; MEASUREMENT UNCERTAINTY; NON-LINEAR MODELING; REPEATED MEASUREMENTS; UNCERTAINTY ESTIMATION; VALUE ESTIMATION;

UNCERTAINTY ANALYSIS;

EID: 51849094487     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AMUEM.2008.4589929     Document Type: Conference Paper

References (5)

1. ISO/IEC Guide 98:1995, Guide to the Expression of Uncertainty in Measurement, Geneva, Switzerland, 1995.
2. ISO/IEC Guide 99:2007, International Vocabulary of Metrology - Basic and General Concepts and Associated Terms, 3rd ed., Geneva, Switzerland, 2007.
3. W. Bich, L. Callegaro, F. Pennecchi, "Non-linear models and best estimates in the GUM", Metrologia, 43 (2006) S196-S199.
4. 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", Draft.
5. rd ed., McGraw Hill, 1991.