Data Modeling for Metrology and Testing in Measurement Science
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. Mainst...
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Other Authors: | , |
Format: | Electronic eBook |
Language: | English |
Published: |
Boston :
Birkhäuser Boston,
2009.
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Series: | Modeling and Simulation in Science, Engineering and Technology
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- An Introduction to Data Modeling Principles in Metrology and Testing
- Probability in Metrology
- Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty
- Interval Computations and Interval-Related Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements
- Parameter Estimation Based on Least Squares Methods
- Frequency and Time#x2014;Frequency Domain Analysis Tools in Measurement
- Data Fusion, Decision-Making, and Risk Analysis: Mathematical Tools and Techniques
- Comparing Results of Chemical Measurements: Some Basic Questions from Practice
- Modelling of Measurements, System Theory and Uncertainty Evaluation
- Approaches to Data Assessment and Uncertainty Estimation in Testing
- Monte Carlo Modeling of Randomness
- Software Validation and Preventive Software Quality Assurance for Metrology
- Virtual Istrumentation
- Internet-Enabled Metrology.