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Data Modeling for Metrology and Testing in Measurement Science

  • Franco Pavese
  • Alistair B. Forbes

Table of contents

  1. Front Matter
    Pages 1-17
  2. Giovanni B. Rossi
    Pages 1-40
  3. William F. Guthrie, Hung-kung Liu, Andrew L. Rukhin, Blaza Toman, Jack C. M. Wang, Nien-fan Zhang
    Pages 1-45
  4. Pedro M. Ramos, Raul C. Martins, Sergio Rapuano, Pasquale Daponte
    Pages 1-27
  5. Pedro S. Girão, Octavian Postolache, José M. D. Pereira
    Pages 1-50
  6. Wolfram Bremser, Werner Hässelbarth
    Pages 1-30
  7. Alan G. Steele, Robert J. Douglas
    Pages 1-41
  8. Octavian Postolache, Pedro S. Girão, José M.D. Pereira
    Pages 1-39
  9. Tanasko Tasić
    Pages 1-19
  10. Back Matter
    Pages 1-18

About this book

Introduction

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.

Keywords

Internet Mathematica STATISTICA Wavelet calculus data analysis fuzzy metrology modeling probability quality quality assurance risk analysis systems theory uncertainty

Editors and affiliations

  • Franco Pavese
    • 1
  • Alistair B. Forbes
    • 2
  1. 1.Metrologica (INRIM), Divisione TermodinamicaIstituto Nazionale di RicercaTorinoItaly
  2. 2.MSC , Module 13 National Physics Laboratory Teddington, MiddlesexUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-8176-4804-6
  • Copyright Information Birkhäuser Boston 2009
  • Publisher Name Birkhäuser Boston
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-8176-4592-2
  • Online ISBN 978-0-8176-4804-6
  • Series Print ISSN 2164-3679
  • Series Online ISSN 2164-3725
  • Buy this book on publisher's site