Buch, Englisch, 486 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 928 g
Reihe: Modeling and Simulation in Science, Engineering and Technology
Buch, Englisch, 486 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 928 g
Reihe: Modeling and Simulation in Science, Engineering and Technology
ISBN: 978-0-8176-4592-2
Verlag: Birkhäuser Boston
This book provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The focus is on techniques having a broad range of real-world applications in a variety of fields.
Data Modeling for Metrology and Testing in Measurement Science may be used as a textbook in graduate courses on data modeling and computational methods, or as a training manual in the fields of calibration and testing. The book will also serve as an excellent reference for metrologists, mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Mathematik | Informatik EDV | Informatik Informatik
- Naturwissenschaften Physik Physik Allgemein Geschichte der Physik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Naturwissenschaften Physik Physik Allgemein Experimentalphysik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
- Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
Weitere Infos & Material
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.
