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Advanced Mathematical And Computational Tools In Metrology And Testing Viii [Kõva köide]

Edited by (Imeko Tc21, Italy), Edited by (Utac, France), Edited by (Univ De La Mediterranee, France), Edited by (Nat'l Inst Of Standards & Tech, Usa), Edited by (Physikalisch-technische Bundesanstalt, Germany), Edited by (Nat'l Physical Lab, Uk)
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Advanced Mathematical And Computational Tools In Metrology And Testing ViiiSuurem pilt
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Püsilink: https://www.kriso.ee/db/9789812839510.html
Märksõnad:
Metrologists, mathematicians, and software and information-technology engineers share insights into the modeling, statistical, and computational requirements in metrology and testing. One goal is to encourage young researchers; another is to promote collaboration in the context of European Union and other regional and international programs and projects. Among the 56 discussions are methods for estimating the effect of correlation at the measurement of alternating voltages, the virtual atomic force microscope as a tool for nano-metrology, an approach to uncertainty using nested analysis, applying quality-by-design to analytical methods in the pharmaceutical industry, the propagation of uncertainty related to the calibration functions of platinum-resistance thermometers and possible correlation effects, and optimal decision rules and limits of detection. Only authors are indexed. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)

The main theme of the AMCTM 2008 conference, reinforced by the establishment of IMEKO TC21, was to provide a central opportunity for the metrology and testing community worldwide to engage with applied mathematicians, statisticians and software engineers working in the relevant fields. This review volume consists of reviewed papers prepared on the basis of the oral and poster presentations of the Conference participants. It covers all the general matters of advanced statistical modeling (e.g. uncertainty evaluation, experimental design, optimization, data analysis and applications, multiple measurands, correlation, etc.), metrology software (e.g. engineering aspects, requirements or specification, risk assessment, software development, software examination, software tools for data analysis, visualization, experiment control, best practice, standards, etc.), numerical methods (e.g. numerical data analysis, numerical simulations, inverse problems, uncertainty evaluation of numerical algorithms, applications, etc.), and data fusion techniques and design and analysis of inter-laboratory comparisons.
Nonlinear Least Squares, Maximum Likelihood Estimation and Bayesian
Inference (A B Forbes); Quality by Design Applications to Analytical Methods
in the Pharmaceutical Industry (R Kenett); Declaration and Specification of a
Geometrical Part in the Language of Geometric Algebra (A Clement & P Serre);
Considerations and Developments in Uncertainty Evaluations in Chemical
Metrology (R Kaarls); Analysis of Dynamic Measurements: Compensation of
Dynamic Error and Evaluation of Uncertainty (C Elster & A Link); Measurement
of Characteristics Related to Human Perception (G B Rossi); Allan Variance
and the Uncertainty of Autocorrelated Measurements (N F Zhang); From GUM to
Alternative Methods for Measurement Uncertainty Evaluation (M Priel); Methods
for Aggregating Key Comparisons (R J Douglas & A G Steele); Model-based
Uncertainty Analysis in Inter-laboratory Studies (B Toman).