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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Bibliographische Detailangaben
1. Verfasser: Pavese, Franco
Weitere Verfasser: Forbes, Alistair B. (Verlagsleitung)
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: Boston, MA : Birkhäuser Boston [20..].
Cham : Springer Nature
Ausgabe:1st ed. 2009.
Schriftenreihe:Modeling and Simulation in Science, Engineering and Technology
Schlagworte:
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Anmerkung: L'accès complet au document est réservé aux usagers des établissements qui en ont fait l'acquisition
L'impression du document génère xvii-489 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Data Modeling for Metrology and Testing in Measurement Science, Texte imprimé, 9780817672058
• Data Modeling for Metrology and Testing in Measurement Science, Franco Pavese, Alistaire B Forbes Editors, 2009, Boston, Birkhäuser, 1 vol. (XVII-489 p.), Modeling and Simulation in science, Engineering and Technology, 978-08176-4592-2
Inhaltsangabe:
  • 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