Fr. 260.00

Advanced Mathematical And Computational Tools In Metrology And Testing Viii

Anglais · Livre Relié

Expédition généralement dans un délai de 3 à 5 semaines

Description

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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.

Table des matières

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).

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