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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Pavese, Franco (Επιμελητής έκδοσης), Forbes, Alistair B. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston : Birkhäuser Boston, 2009.
Σειρά:Modeling and Simulation in Science, Engineering and Technology
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.