TY  - BOOK
AU  - Rishi,Swanand
ED  - Institute of Physics (Great Britain),
TI  - A practical handbook on measurement uncertainty: FAQs and fundamentals for metrologists 
T2  - [IOP release $release]
SN  - 9780750364621
AV  - T50 .R577 2024eb
PY  - 2024///]
CY  - Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK)
PB  - IOP Publishing
KW  - Measurement uncertainty (Statistics)
KW  - Handbooks, manuals, etc
KW  - Mensuration & systems of measurement
KW  - bicssc
KW  - TECHNOLOGY & ENGINEERING / Measurement
KW  - bisacsh
N1  - "Version: 20240701"--Title page verso; Includes bibliographical references; part A. Understanding the fundamentals of measurement uncertainty. 1. Using correct terminology -- 1.1. Quantity and quantity value -- 1.2. The measurand and parameter -- 1.3. Accuracy and precision -- 1.4. Standard uncertainty and uncertainty contribution -- 1.5. Error, uncertainty, and expanded uncertainty; 2. Why do we need to evaluate uncertainty? -- 3. Should we talk about the 'evaluation' or 'calculation' of uncertainty? -- 4. What uncertainty is not -- 5. Various error terms and bias -- 6. The Guide to the expression of uncertainty in measurement (GUM)--the new approach -- 7. The law of propagation of uncertainty -- 8. Why is standard deviation used instead of variance? -- 9. Using pooled standard deviation -- 10. Some uncommon uncertainties; part B. Dealing with distributions. 11. The normal distribution, the t-distribution, and the standard normal distribution -- 12. Do Type A and Type B evaluations correspond to random and systematic errors? -- 13. What about reproducibility in uncertainty evaluation? -- 14. How is it that we can combine different distributions? -- 15. Guidelines for the selection of triangular and trapezoidal distributions -- 16. Aren't higher confidence level and larger uncertainty contradictory? -- 17. Mind the correlations -- 17.1. The correlation coefficient; part C. Sample size and analysis. 18. Sampling distributions -- 18.1. Sampling error -- 19. The sample size dilemma -- 20. Sample size--another approach -- 21. Addressing the uncertainty of a single measurement -- 21.1. How do we proceed if no such information of previous data or history is available?; part D. Decoding degrees of freedom. 22. Why is degrees of freedom generally (n - 1) in type A evaluation? -- 23. Why is degrees of freedom generally '[infinity]' in type B evaluation? -- 24. Effective degrees of freedom--some considerations; part E. Some contiguous concepts. 25. What is the significance of the sensitivity coefficient? -- 26. Dealing with corrections -- 27. The test uncertainty ratio: use only as a guiding phenomenon -- 28. Guarding conformity decisions -- 28.1. What is a guard band?; part F. Delving a little deeper. 29. Treating dominant non-Gaussian components -- 30. Sample analysis--how normal is the Normal? -- 31. Sample analysis--detecting the outliers -- 32. Analyzing the results -- 32.1. Analysis of the results -- 33. The proper reporting of uncertainty -- 34. Alternative approaches in uncertainty evaluation -- 35. Some important notes in the GUM; Appendix A. Coefficients for the Shapiro-Wilk test and the W statistic for various p-values -- Appendix B. Some useful web sites; Full-text restricted to subscribers or individual document purchasers; Also available in print
N2  - In the field of metrology, measurement uncertainty has a special place of its own since 'no measurement result is complete without explicit statement about its uncertainty'. Hence for all accredited laboratories, evaluation of measurement uncertainty is a mandatory requirement. The purpose of the book is to clarify the rationale behind certain assumptions or ideas in measurement uncertainty, present the concepts from practical perspective, help readers arrive at a realistic uncertainty figure and be a ready-reference handbook. The book can serve as a quick reference book on basic concepts in measurement uncertainty. The book is written in a manner so that practicing metrologists can open any chapter and start reading. The topics covered are applicable across all fields of scientific measurements
UR  - https://iopscience.iop.org/book/mono/978-0-7503-6462-1
ER  -