Data Modeling for Metrology and Testing in Measurement Science

• Corporate Author: SpringerLink (Online service)
• Other Authors: Pavese, Franco. (Editor), Forbes, Alistair B. (Editor)
• Format: Electronic
• Language: English
• Published: Boston : Birkhũser Boston, 2009.
• Series: Modeling and Simulation in Science, Engineering and Technology
• Subjects: Mathematics.; Computer science > Mathematics.; Distribution (Probability theory).; Mathematical statistics.; Statistics.; Industrial engineering.; Mathematical Modeling and Industrial Mathematics.; Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences.; Industrial and Production Engineering.; Computational Mathematics and Numerical Analysis.; Statistics and Computing/Statistics Programs.; Probability Theory and Stochastic Processes.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-8176-4804-6

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...

Table of Contents:

• Preface
• List of Contributors
• An Introduction to Data Modelling 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<U+0013>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 Modelling of Randomness
• Software Validation and Preventive Software Quality Assurance for Metrology
• Virtual Instrumentation
• Internet-Enabled Metrology
• Appendix: DVD Content
• Index.