Data Modeling for Metrology and Testing in Measurement Science
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Beschreibung
This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having a broad range of real-world applications in measurement science.
Mainstream methods of data modeling and analysis typically rely on certain assumptions that do not hold for many practical applications. Developed in this work are methods and computational tools to address general models that arise in practice, allowing for a more valid treatment of calibration and test data and providing a deeper understanding of complex situations in measurement science.
Additional features and topics of the book include:
* Introduction to modeling principles in metrology and testing
* Presentation of a basic probability framework in metrology and statistical approaches to uncertainty assessment
* Discussion of the latest developments in data analysis using least squares, Fast Fourier Transform, wavelets, and fuzzy logic methods
* Data fusion using neural networks, fuzzy methods, decision making, and risk analysis
* A computer-assisted, rigorous approach to data evaluation and analysis of measurement software validity
* Introduction to virtual instruments, and an overview of IT tools for measurement science
Data Modeling for Metrology and Testing in Measurement Science may be used as a textbook in graduate courses on data modeling and computational methods, or as a training manual in the fields of calibration and testing. The book will also serve as an excellent reference for metrologists, mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science.
This book provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The focus is on techniques having a broad range of real-world applications in a variety of fields.
Data Modeling for Metrology and Testing in Measurement Science may be used as a textbook in graduate courses on data modeling and computational methods, or as a training manual in the fields of calibration and testing. The book will also serve as an excellent reference for metrologists, mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science.
Takes 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 metrology For a broad audience of graduate students, researchers, and practitioners in metrology, mathematics, statistics, chemistry, and software engineering May be used as a textbook in graduate courses on modeling and computational methods, or as a training manual in the fields of calibration and testing Includes supplementary material: sn.pub/extras
Autor*in
Franco Pavese
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Internet Mathematica STATISTICA Wavelet calculus data analysis fuzzy metrology modeling probability quality quality assurance risk analysis systems theory uncertainty
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From the reviews:
“This is a surprisingly eclectic compilation that I found full of interesting concepts and new knowledge. … Academic researchers and National Measurement Institutes will certainly recommend the text to their libraries. Their research students will benefit … .” (D. Brynn Hibbert, Accreditation and Quality Assurance, Vol. 15, 2010)()