eBook - PDF
Measurement Uncertainties
Error Propagation, Probabilistic Modelling, Statistical Methods
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- 396 pages
- English
- PDF
- Only available on web
eBook - PDF
Measurement Uncertainties
Error Propagation, Probabilistic Modelling, Statistical Methods
Book details
Table of contents
Citations
About This Book
This book elucidates the complexities surrounding measurement uncertainties, offering detailed insights into uncertainty analysis, error propagation, and calibration methodologies. Through rigorous examination, it provides practical strategies for mitigating measurement errors and enhancing precision. An essential reading for students seeking a thorough understanding of uncertainty quantification.
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Yes, you can access Measurement Uncertainties by Michael Krystek in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Engineering General. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Preface
- Contents
- 1 Introduction
- 2 Fundamental terms of metrology
- 3 Measurement models
- 4 Basics of probability theory
- 5 Statistical methods
- 6 Measurement uncertainty concepts
- A From univariate to multivariate uncertainty
- B Dealing with systematic measurement errors
- C Bayesian linking of key comparisons
- List of Definitions
- List of Propositions
- List of Examples
- List of Figures
- List of Tables
- List of Symbols
- Bibliography
- Index