On using the Monte Carlo method to calculate uncertainty intervals

Metrologia

Volumn 43, Issue 6, 2006, Pages

  Willink, R ^a  

^a CALLAGHAN INNOVATION   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

MEASUREMENT THEORY; PROBABILITY DISTRIBUTIONS;

UNCERTAINTY INTERVALS;

MONTE CARLO METHODS;

EID: 33846887859     PISSN: 00261394     EISSN: 16817575     Source Type: Journal    
DOI: 10.1088/0026-1394/43/6/N02     Document Type: Article

References (11)

1. Joint Committee for Guides in Metrology 2006 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 Supplement 1 2006-04-21)
2. Damasceno J C, Borges R M H, Couto P R G, Ordine A P, Getrouw M A, Borges P P and Fraga I C S 2006 Metrologia 43 306-10
3. Hall B D 2006 Metrologia 43 220-6
4. Willink R 2006 An approach to uncertainty analysis emphasizing a natural expectation of a client Advanced Mathematical & Computational Tools in Metrology VII ed P Ciarlini et al (New Jersey: World Scientific) pp 344-9
5. Willink R 2005 Metrologia 41 L5-6
6. David H A 1970 Order Statistics (New York: Wiley)
7. Lindley D V 1965 Introduction to Probability & Statistics from a Bayesian Viewpoint: Part 1, Probability (Cambridge: Cambridge University Press)
8. Press S J 1989 Bayesian Statistics: Principles, Models, and Applications (New York: Wiley)
9. Willink R and Lira I 2005 Measurement 38 61-6
10. Guttman I 1970 Statistical Tolerance Regions: Classical and Bayesian (London: Griffin)
11. Guttman I 1988 Tolerance regions, statistical Encyclopedia of Statistical Sciences vol 9 ed S Kotz et al (New York: Wiley) pp 272-87