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Data Modeling for Metrology and Testing in Measurement Science

 - Data Modeling for Metrology and Testing in Measurement Science, ebook

93,40€

Ebook, PDF with Adobe DRM
ISBN: 9780817648046
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Table of contents

2. An Introduction to Data Modeling Principles in Metrology and Testing
Franco Pavese

3. Probability in Metrology
Giovanni B. Rossi

4. Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty
William F. Guthrie, Hung-kung Liu, Andrew L. Rukhin, Blaza Toman, Jack C. M. Wang, Nien-fan Zhang

5. Interval Computations and Interval-Related Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements
Vladik Kreinovich

6. Parameter Estimation Based on Least Squares Methods
Alistair B. Forbes

7. Frequency and Time—Frequency Domain Analysis Tools in Measurement
Pedro M. Ramos, Raul C. Martins, Sergio Rapuano, Pasquale Daponte

8. Data Fusion, Decision-Making, and Risk Analysis: Mathematical Tools and Techniques
Pedro S. Girão, Octavian Postolache, José M. D. Pereira

9. Comparing Results of Chemical Measurements: Some Basic Questions from Practice
Paul Bièvre

10. Modelling of Measurements, System Theory and Uncertainty Evaluation
Klaus-D. Sommer

11. Approaches to Data Assessment and Uncertainty Estimation in Testing
Wolfram Bremser, Werner Hässelbarth

12. Monte Carlo Modeling of Randomness
Alan G. Steele, Robert J. Douglas

13. Software Validation and Preventive Software Quality Assurance for Metrology
Norbert Greif, Dieter Richter

14. Virtual Istrumentation
Octavian Postolache, Pedro S. Girão, José M.D. Pereira

15. Internet-Enabled Metrology
Tanasko Tasic

Keywords: MATHEMATICS / General MAT000000

Publisher
Springer
Publication year
2009
Language
en
Edition
1
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9780817648046

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