Preface
List of Contributors
An Introduction to Data Modelling Principles in Metrology and Testing / Franco Pavese
Probability in Metrology / Giovanni B. Rossi
Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty / W. F. Guthrie, H.-k. Liu, A. L. Rukhin, B. Toman, J. C. M. Wang, and N.-f. Zhang
Interval Computations and Interval-Related Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements / Vladik Kreinovich
Parameter Estimation Based on Least Squares Methods / Alistair B. Forbes
Frequency and Time-Frequency Domain Analysis Tools in Measurement / P. M. Ramos, R. C. Martins, S. Rapuano, and P. Daponte
Data Fusion, Decision-Making, and Risk Analysis: Mathematical Tools and Techniques / P. S. Girão, O. Postolache, and J. M. D. Pereira
Comparing Results of Chemical Measurements: Some Basic Questions From Practice / Paul De Bièvre
Modelling of Measurements, System Theory, and Uncertainty Evaluation / Klaus-D. Sommer
Approaches to Data Assessment and Uncertainty Estimation in Testing / Wolfram Bremser and Werner Hässelbarth
Monte Carlo Modelling of Randomness / Alan G. Steele and Robert J. Douglas
Software Validation and Preventive Software Quality Assurance for Metrology / Norbert Greif and Dieter Richter
Virtual Instrumentation / O. Postolache, P. S. Girão, and J. M. D. Pereira
Internet-Enabled Metrology / Tanasko Tasic
Appendix: DVD Content
Index

This book provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods and focusing on techniques with a broad range of real-world applications.

The book will be useful as a textbook for graduate students, or as a training manual in the fields of calibration and testing. The work may also serve as a reference for metrologists, mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science.