Evaluation of measurement uncertainty based on the propagation of distributions using Monte Carlo simulation

Measurement Techniques

Volumn 46, Issue 9, 2003, Pages 824-833

  Cox, M ^a   Harris, P ^a   Siebert, B R L ^b  

^a NATIONAL PHYSICAL LABORATORY   (United Kingdom)

^b PHYSIKALISCH TECHNISCHE BUNDESANSTALT   (Germany)

Author keywords

Monte Carlo simulation; Propagation of distributions; Uncertainty evaluation

Indexed keywords

COMPUTER SIMULATION; DECISION MAKING; ENTROPY; FITS AND TOLERANCES; FORMAL LOGIC; MEASUREMENTS; MONTE CARLO METHODS; PROBABILITY; PROBLEM SOLVING; QUALITY ASSURANCE; THEOREM PROVING;

GLOBALIZATION PROCESSES; MONTE CARLO SIMULATIONS; PROPAGATION OF DISTRIBUTIONS; UNCERTAINTY EVALUATION;

UNCERTAIN SYSTEMS;

EID: 3543122952     PISSN: 05431972     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:METE.0000008439.82231.ad     Document Type: Article

References (11)

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10. J. R. Rice, Mathematical Statistics and Data Analysis, Duxbury Press, Belmont, Ca, USA, second edition (1995).
11. M. G. Cox, M. P. Dainton, and P. M. Harris, "Software specifications for uncertainty evaluation and associated statistical analysis," Technical Report CMSC 10/01, National Physical Laboratory, Teddington, UK (2001).