منابع مشابه
Statistical Analysis of Interlaboratory Comparisons
This workshop is being hosted by NPL as part of the Software Support for Metrology (SSfM) programme that it operates for the UK Department of Trade and Industry as part of the National Measurement System (NMS). SSfM is a metrology-focused programme designed to identify and disseminate best practice in the use of mathematics, statistics and software throughout the NMS. It concentrates on generic...
متن کاملStatistics in Metrology: International Key Comparisons and Interlaboratory Studies
Stochastic modeling and analysis of international key comparisons (interlaboratory comparisons) pose several fundamental questions for statistical methodology. A key comparison (KC) is specifically designed to derive the key comparison reference value and to assess conformance of calibrations by participating national metrology laboratories at a few, “key”, settings for a particular measurement...
متن کاملDetermining Consensus Values in Interlaboratory Comparisons and Proficiency Testing
An important part of interlaboratory comparisons and proficiency testing is the determination of the reference value of the measurand and the associated uncertainty. It is desirable to have reference values with low uncertainty, but it is crucial that these values are reliable, i.e. they are correct within their stated uncertainty. In some cases it is possible to obtain reference values from la...
متن کاملInterlaboratory and intralaboratory comparisons of indirect immunofluorescence assays for serodiagnosis of Lyme disease.
A conventional indirect immunofluorescence assay (IFA) and an anticomplement indirect immunofluorescence assay (ACIF) for detecting serum antibodies to Borrelia burgdorferi in humans were evaluated during a prevalence survey in northern California. Sera obtained from 119 current or former residents of an area in which Lyme disease is endemic were split and tested by the IFA in two laboratories ...
متن کاملConfidence Interval for Common Mean in Interlaboratory Comparisons with Systematic Laboratory Biases
Abstract. We consider the problem of evaluation of the measurement results from the interlaboratory comparisons in metrology. It is assumed that the laboratories have either normally, uniformly, or triangularly distributed systematic errors (biases). We propose an approximate interval estimator for the common mean, i.e. the true value of the measurand. The empirical coverage probabilities of th...
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ژورنال
عنوان ژورنال: Accreditation and Quality Assurance
سال: 2013
ISSN: 0949-1775,1432-0517
DOI: 10.1007/s00769-013-0998-3