ANALYSIS OF MEASUREMENT OF INTER-LABORATORY COMPARISON THROUGH CONFIDENCE INTERVALS (No 46)

Adriana Horníková
Abstract:
It is possible to compute uncertainty in the form of confidence intervals. In this article is exploited the confidence intervals determination through a simulation study that enables to evaluate uncertainty in the form of confidence intervals for real measurements of inter-laboratory comparison (ILC) even for small numbers of observations.
Here are listed estimation approaches (mathematical-statistical algorithms) for the determination of the consensus value (the true measured value); confidence interval for the true measured quantity in different laboratories; determination (estimate) of the inter-laboratory variance; confidence interval for the inter-laboratory variance; and within-laboratory variance in experiment of the inter- laboratory comparison with homoscedastic as well as heteroscedastic measurements. Different possibilities of evaluation of ILC when the model applied is a linear model with one random effect "laboratory" and estimation procedures are listed and discussed (also describing of the statistical features) in this contribution.
The merit of the simulation study is for a statistician (evaluator of ILC) in better approximation of needed confidence level to obtain the expected result precision in balanced and unbalanced experiment design for homoscedastic as well as heteroscedastic measurements when having small number of observations.
Keywords:
Inter-laboratory Comparison, Uncertainty, Confidence Interval
Download:
PWC-2003-TC8-015.pdf
DOI:
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Event details
Event name:
XVII IMEKO World Congress
Title:

Metrology in the 3rd Millennium

Place:
Dubrovnik, CROATIA
Time:
22 June 2003 - 28 June 2003