Overview
- Provides a unified view of measurement for quality assurance of essentially any product, process or service
- Presents step-by-step guidance from specification through measurement to decisions on conformity
- Illustrates each step in quality-assurance cycles with examples and case studies
- Presents a common metrological framework covering grand challenge’ areas such as where cosmological and microscopic dimensions meet, and where human cognitive ability correlates with the structure and functioning of the brain
- Includes pragmatic extensions of significance testing, including optimised uncertainties
Part of the book series: Springer Series in Measurement Science and Technology (SSMST)
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Table of contents (6 chapters)
Keywords
About this book
This book presents a general and comprehensive framework for the assurance of quality in measurements. Written by a foremost expert in the field, the text reflects an on-going international effort to extend traditional quality assured measurement, rooted in fundamental physics and the SI, to include non-physical areas such as person-centred care and the social sciences more generally. Chapter by chapter, the book follows the measurement quality assurance loop, based on Deming’s work. The author enhances this quality assurance cycle with insights from recent research, including work on the politics and philosophy of metrology, the new SI, quantitative and qualitative scales and entropy, decision risks and uncertainty when addressing human challenges, Man as a Measurement Instrument, and Psychometry and Person-centred care.
Quality Assured Measurement: Unification across Social and Physical Sciences provides students and researchers in physics, chemistry, engineering, medicine and the social sciences with practical guidance on designing, implementing and applying a quality-assured measurement while engaging readers in the most novel and expansive areas of contemporary measurement research.
Authors and Affiliations
About the author
Professor Leslie R. Pendrill has for much of his career since the mid 1980’s been head of research at the National Metrology Institute of RISE Research Institutes of Sweden. For decades, his research has focused on fundamental metrology, in particular optoelectronic, laser, length and mass measurement. More recently, he has developed new quality-assured measurement methods in which Man is the main actor, weighing the effects of measurement against the effects of product evaluations, including optimised measurement, uncertainty studies and the measurement of perception. Professor Pendrill has been actively involved in several international metrology activities including being Chair of the European Association of National Metrology Institutes (EURAMET); the International Union of Pure and Applied Physics’ Commission on Symbols, Units, Nomenclature, Atomic Masses and Fundamental Constants; and the ISO/TC12 Quantities and units standards committee. He earnedhis PhD in Atomic Physics at the University of Reading, England and moved to Sweden after postdoctoral positions in Paris at the École normale supérieure, JILA Research Institute in Boulder CO, and Oxford University.
Bibliographic Information
Book Title: Quality Assured Measurement
Book Subtitle: Unification across Social and Physical Sciences
Authors: Leslie Pendrill
Series Title: Springer Series in Measurement Science and Technology
DOI: https://doi.org/10.1007/978-3-030-28695-8
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-28694-1Published: 06 November 2019
Softcover ISBN: 978-3-030-28697-2Published: 06 November 2020
eBook ISBN: 978-3-030-28695-8Published: 24 October 2019
Series ISSN: 2198-7807
Series E-ISSN: 2198-7815
Edition Number: 1
Number of Pages: XIII, 241
Number of Illustrations: 52 b/w illustrations, 46 illustrations in colour
Topics: Measurement Science and Instrumentation, Quality Control, Reliability, Safety and Risk, Psychometrics, Research Methodology, Data-driven Science, Modeling and Theory Building