Measurement systems analysis: Concepts and computational approaches

18th IMEKO World Congress 2006: Metrology for a Sustainable Development

Volumn 2, Issue , 2006, Pages 1576-1581

  Forbes, Alistair ^a   Perruchet, Christophe ^b  

^a NATIONAL PHYSICAL LABORATORY   (United Kingdom)

^b UTAC   (France)

Author keywords

Computational methods; Measurement uncertainty; Statistical modelling

Indexed keywords

COMPUTATIONAL APPROACH; GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENTS; MARKOV CHAIN MONTE CARLO SIMULATION; MEASUREMENT METHODS; MEASUREMENT SYSTEMS ANALYSIS; MEASUREMENT UNCERTAINTY; STATISTICAL MODELLING; UNCERTAINTY EVALUATION;

MEASUREMENTS; MONTE CARLO METHODS; PLANNING; SUSTAINABLE DEVELOPMENT; SYSTEMS ANALYSIS; UNCERTAINTY ANALYSIS; UNITS OF MEASUREMENT;

COMPUTATIONAL METHODS;

EID: 84877772931     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. ISO The Guide to the Expression of Uncertainty in Measurement, International Organization for Standardization, Geneva, 1995.
2. ISO 5725 Accuracy (Trueness and Precision) of Measurement Methods and Results, Parts 1 to 6, International Organization for Standardization, Geneva, 1995.
3. ISO/TS 21748 Guidance for the use of repeatability, reproducibility and trueness estimates in measurement uncertainty estimation, International Organization for Standardization, Geneva, 2004.
4. Bayesian Data Analysis, A Gelman, J B Carlin, H S Stern and D B Rubin, Chapman Hall/CRC, Boca Raton 2004.
5. Matrix Computations, G H Golub and C Van Loan, Johns Hopkins University Press, 3rd edn, 1996.