An Introduction to Uncertainty in Measurement
eBook - PDF

An Introduction to Uncertainty in Measurement

Using the GUM (Guide to the Expression of Uncertainty in Measurement)

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

An Introduction to Uncertainty in Measurement

Using the GUM (Guide to the Expression of Uncertainty in Measurement)

About this book

Measurement shapes scientific theories, characterises improvements in manufacturing processes and promotes efficient commerce. In concert with measurement is uncertainty, and students in science and engineering need to identify and quantify uncertainties in the measurements they make. This book introduces measurement and uncertainty to second and third year students of science and engineering. Its approach relies on the internationally recognised and recommended guidelines for calculating and expressing uncertainty (known by the acronym GUM). The statistics underpinning the methods are considered and worked examples and exercises are spread throughout the text. Detailed case studies based on typical undergraduate experiments are included to reinforce the principles described in the book. This guide is also useful to professionals in industry who are expected to know the contemporary methods in this increasingly important area. Additional online resources are available to support the book at www.cambridge.org/9780521605793.

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Yes, you can access An Introduction to Uncertainty in Measurement by L. Kirkup,R. B. Frenkel in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Physics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. 1 The importance of uncertainty in science and technology
  9. 2 Measurement fundamentals
  10. 3 Terms used in measurement
  11. 4 Introduction to uncertainty in measurement
  12. 5 Some statistical concepts
  13. 6 Systematic errors
  14. 7 Calculation of uncertainties
  15. 8 Probability density, the Gaussian distribution and the central limit theorem
  16. 9 Sampling a Gaussian distribution
  17. 10 The t-distribution and the Welch–Satterthwaite formula
  18. 11 Case studies in measurement uncertainty
  19. Appendix A Solutions to exercises
  20. Appendix B 95% Coverage factors, k as a function of the number of degrees of freedom, v
  21. Appendix C Further discussion following from the Welch–Satterthwaite formula
  22. References
  23. Index