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Author: Blaza Toman
Displaying records 1 to 10 of 29 records.
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1.
An international assessment of the metrological equivalence of higher-order measurement services for creatinine in serum
Published: 4/2/2012
Authors: Johanna Camara, Katrice A Lippa, David Lee Duewer, Hugo H. Gasca-Aragon, Blaza Toman
Abstract: Background: The CCQM-K80 Key Comparison directly assessed the equivalence of many of the world’s higher-order value-assigned materials (HOVAMs) for creatinine in human serum. This 2009 international study compared the certified values and uncertaint
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909142
2.
Tutorial for metrologists on the probabilistic and statistical apparatus underlying the GUM and related documents
Published: 11/9/2011
Authors: Antonio M Possolo, Blaza Toman
Abstract: A review and précis of the meaning and calculus of probability, including random variables, probability distributions, functions of random variables, and of Bayesian statistical inference, with many illustrative examples.
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=910148
3.
Bayesian uncertainty analysis under prior ignorance of the measurand vs. analysis using the Supplement to the Guide: A comparison
Published: 2/17/2009
Authors: Blaza Toman, Clemens Elster
Abstract: A recent supplement to the GUM (GUM S1) is compared with a Bayesian analysis in terms of a particular task of data analysis, one where no prior knowledge of the measurand is presumed. For the Bayesian analysis, an improper prior density on the measur
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=900233
4.
Three Statistical Paradigms for The Assessment and Interpretation of Measurement Uncertainty
Published: 1/12/2009
Authors: William F Guthrie, Hung-Kung Liu, Andrew L Rukhin, Blaza Toman, Chih-Ming Wang, Nien F Zhang
Abstract: The goals of this chapter are to present different approaches to uncertainty assessment from a statistical point of view and to relate them to the methods that are currently being used in metrology or are being developed within the metrology communit
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=51273
5.
Calibration and Uncertainty Analysis of Predictions from Computational Models
Published: 8/18/2008
Author: Blaza Toman
Abstract: Computer experiments, that is, experiments performed using a mathematical model of a physical or chemical process implemented using a computer simulation are especially useful when extensive physical experimentation is either impossible or too expens
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=152145
6.
Model Based Uncertainty Analysis in Inter-Laboratory Studies
Published: 6/23/2008
Authors: Blaza Toman, Antonio M Possolo
Abstract: Statistical analysis of key comparison and inter-laboratory experiments is required to produce an estimate of the measurand called a reference value and further, measures of equivalence of the participating laboratories. Methods of estimation of the
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=900232
7.
Uncertainty Due to Finite Resolution Measurements
Published: 5/1/2008
Authors: Steven David Phillips, Blaza Toman, William Tyler Estler
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=912361
8.
Assessment of measurement uncertainty via observation equations
Published: 12/3/2007
Authors: Antonio M Possolo, Blaza Toman
Abstract: According to the Guide to the Expression of Uncertainty in Measurement, measurement uncertainty is assessed by computational propagation of error based on a measurement equation that expresses the measurand as a known function of input variables. How
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=51223
9.
Statistics in Metrology: International Key Comparisons and Interlaboratory Studies
Published: 7/10/2007
Authors: N Sedransk, Andrew L Rukhin, Blaza Toman
Abstract: An approach to the analysis of key comparisons data is proposed using a model taken from meta-analysis metrology. Under the assumption of Gaussian distributions and equivalent qualification of all participating laboratories the analysis of data fro
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=151794
10.
Statistical Interpretation of Key Comparison Degrees of Equivalence Based on Distributions of Belief
Published: 4/2/2007
Author: Blaza Toman
Abstract: In a Key Comparison experiment, the Mutual Recognition Arrangement (MRA) requires the calculation of the Degrees of Equivalence (DoE) and the accompanying measures of uncertainty. Unilateral DoEs have been defined as a difference between a laboratory
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=50904