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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Franco Pavese,Alistair B. ForbesTakes the reader beyond mainstream methods described in standard texts on data and uncertainty analysis.Real-world applications in a variety of fields, including chemistry, software engineering, and m

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2164-3679 k lends itself as a possible textbook for undergraduate or postgraduate study in an area where existing texts focus mainly on the most common and well-known methods that do not encompass modern approaches to ca978-0-8176-4804-6Series ISSN 2164-3679 Series E-ISSN 2164-3725

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Rikki Lee B. Mendiola,Pamela A. Custodiol paradigms under which different methods for uncertainty assessment are described include the frequentist, Bayesian, and fiducial paradigms. Each approach is illustrated using common examples and computer code for carrying out each analysis is illustrated using open-source software.

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Book 2009ta analysis, allowing a deeper understanding of complex situations in measurement. The book lends itself as a possible textbook for undergraduate or postgraduate study in an area where existing texts focus mainly on the most common and well-known methods that do not encompass modern approaches to ca