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A practical handbook on measurement uncertainty : FAQs and fundamentals for metrologists / Swanand Rishi.

By: Contributor(s): Material type: TextSeries: IOP (Series). Release 24. | IOP ebooks. 2024 collection.Publisher: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2024]Description: 1 online resource (various pagings) : illustrations (some color)Content type:
  • text
Media type:
  • electronic
Carrier type:
  • online resource
ISBN:
  • 9780750364621
  • 9780750364614
Subject(s): Additional physical formats: Print version:: No titleLOC classification:
  • T50 .R577 2024eb
Online resources:
Available additional physical forms:
  • Also available in print.
Contents:
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.
Abstract: 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.
Item type: List(s) this item appears in: Titluri cărți electronice Institute of Physics 2025 (221 titluri)
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"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.

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.

Also available in print.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

Swanand Rishi graduated in electrical engineering with distinction in 1986, (with specialization in power electronics) from College of Engineering, Pune, India, and completed a Diploma in Business Management (DBM) with Gold medal in 1998. After graduation until 1995, Swanand worked in several manufacturing industries with products such as UPS/power conditioners, capacitors and lightning arrestors. In those companies, he served in various sections including Production, Quality, R&D, Testing and Marketing. He was instrumental in bringing down rejection of certain capacitors from over 40% down to 5% by radical changes in manufacturing process through measurement assurance and using QC tools. In a UPS manufacturing firm, he was project manager for supply of a unique UPS to India's ambitious missile system. Since 1995, Swanand has been with the Electronics Test & Development Centre (ETDC), Pune, India; a Test and Calibration laboratory under STQC Directorate, Ministry of Electronics & IT, Government of India. He was In-charge of the calibration lab when ETDC got its first accreditation in 2002 for electrical and thermal calibration and significantly contributed to establishing the quality system as per ISO/IEC 17025. Currently he is working as Head (QA & Training) in ETDC, Pune. Since 1998 he has taught in courses and seminars conducted by ETDC on calibration (electrical and thermal), laboratory management per ISO/IEC 17025, measurement uncertainty and certified calibration professional. He has published a few papers in national and international journals/conferences. He was also a faculty member for contact-session courses on the Statistical Process Control (SPC) for MS (Quality Management) programme for post-graduate students of Birla Institute of Technology & Science, Pilani, India. He was a regular guest-lecturer in engineering colleges on subjects such as measurements, testing and calibration; QMS and was also an external project examiner. He was a member of 'Syllabus Review committee' for engineering courses and is also an ISO 9000 Lead Assessor.

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