Paper Info
Title
Analysis of Key Comparisons Incorporating Knowledge About Bias
Abstract
A method is proposed for analyzing key comparison data. It is based on the assumption that each laboratory participating in the comparison exercise obtains independent and consistent estimates of the measurand and that, in addition, each laboratory provides an estimate of the quantity that collects all systematic effects that the laboratory took into account. The unknown value of the latter quantity, subtracted from its estimate, is defined as the laboratory's bias. The uncertainties associated with the estimates of the measurand and with the vanishing biases' estimates are also assumed to be reported. In this paper, we show that the information provided in this way may be of help for judging the performances of the laboratories in their correction of systematic effects. This is done by developing formulas for the final (consensus) estimates and uncertainties of the measurand and of the biases. Formulas for the final estimates and uncertainties of the pairwise differences between the biases are also developed. An example involving simulated key comparison data makes apparent the benefits of the proposed approach.
Year
DOI
Venue
2012
10.1109/TIM.2012.2193690
Instrumentation and Measurement, IEEE Transactions
Keywords
Field
DocType
measurement errors,measurement uncertainty,statistical analysis,laboratory bias estimation,measurement uncertainty,performance evaluation,systematic effect,vanishing bias estimation,Bayesian methods,Gaussian distribution,measurement uncertainty,performance evaluation,statistical analysis
Econometrics,Pairwise comparison,Measurement uncertainty,Uncertainty analysis,Statistics,Mathematics,Observational error,Statistical analysis
Journal
Volume
Issue
ISSN
61
8
0018-9456
Citations 
PageRank 
References 
1
0.40
0
Authors
4
Name
Order
Citations
PageRank
Ignacio Lira111.07
Anna Chunovkina210.40
Clemens Elster310.40
Wolfgang Woger410.40