Titlebook: Data Modeling for Metrology and Testing in Measurement Science; Franco Pavese,Alistair B. Forbes Book 2009 Birkhäuser Boston 2009 Internet

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Probability in Metrology,ly participated in the development of statistic–probabilistic disciplines, not only adopting principles and methods, but also contributing with new and influential ideas. Two mainstreams of studies are identified in the science of measurement. The former starts with the classical theory of errors an

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Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty,pment and adoption of the ISO ., there will always be a need to improve the assessment of uncertainty in particular applications and to extend it to cover new areas. Among other work along these lines, the International Committee on Weights and MeasuresÂ’ Joint Committee on Guides in Metrology is cu

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Parameter Estimation Based on Least Squares Methods,it is shown that for many problems for which there are correlated effects it is possible to develop algorithms that use structure associated with the variance matrices to solve the problems efficiently. It is also shown how least squares methods can be adapted to cope with outliers.

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