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Advanced Mathematical And Computational Tools In Metrology And Testing Ix (Hardcover): Franco Pavese, Markus Baer, Jean-Remy... Advanced Mathematical And Computational Tools In Metrology And Testing Ix (Hardcover)
Franco Pavese, Markus Baer, Jean-Remy Filtz, Alistair B. Forbes, Leslie Pendrill, …
R4,295 Discovery Miles 42 950 Ships in 12 - 17 working days

This volume contains original, refereed worldwide contributions. They were prompted by presentations made at the ninth AMCTM Conference held in G teborg (Sweden) in June 2011 on the theme of advanced mathematical and computational tools in metrology and also, in the title of this book series, in testing. The themes in this volume reflect the importance of the mathematical, statistical and numerical tools and techniques in metrology and testing and, also in keeping the challenge promoted by the Metre Convention, to access a mutual recognition for the measurement standards.

Advanced Mathematical And Computational Tools In Metrology And Testing Viii (Hardcover): Franco Pavese, Markus Baer, Alistair... Advanced Mathematical And Computational Tools In Metrology And Testing Viii (Hardcover)
Franco Pavese, Markus Baer, Alistair B. Forbes, Jean-Marc Linares, Christophe Perruchet, …
R4,710 Discovery Miles 47 100 Ships in 12 - 17 working days

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.

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