Quality pp 115-135 | Cite as

Quality of Measurements

  • Shyama Prasad MukherjeeEmail author
Part of the India Studies in Business and Economics book series (ISBE)


Measurements are basic tools in any scientific investigation. Many exercises in Science and Technology are aimed at improving the existing state of affairs regarding matter, energy, environment and their interactions—among themselves as also with living organisms.


  1. American Association for Laboratory Accreditation. (2014). Guide G104 for Estimation of Measurement Uncertainty in Testing.Google Scholar
  2. Automobile Institute Action Group. (2002). Measurement system analysis manual. Detroit, MI, USA: AIAG.Google Scholar
  3. Bell, S. (1999). Measurement good practice guide #11 a beginner’s guide to uncertainty of measurement. Technical report. National Physical laboratory.Google Scholar
  4. Burdick, R. K., Borror, C. M., & Montgomery, D. C. (2003). A review of methods for measurement system capability analysis. Journal of Quality Technology, 35, 342–354.CrossRefGoogle Scholar
  5. Deutler, T. (1991). Grubbs-type estimators of reproducibility variances in an inter-laboratory test study. Journal of Quality Technology, 23(4), 324–335.CrossRefGoogle Scholar
  6. Dietrich, C. F. (1991). Uncertainty, calibration and probability. Bristol, U.K.: Adam Hilger.Google Scholar
  7. EA-4/02M rev.2. (2013). Evaluation of the uncertainty of measurements in calibration. European Accreditation Organisation.Google Scholar
  8. Fridman, A. E. (2012). The quality of measurements: A metrological reference.USA: Springer.CrossRefGoogle Scholar
  9. Grabe, M. (2005). Measurement uncertainties in science and technology. USA: Springer.Google Scholar
  10. Holweg, M. (2000). Measuring cost and performance. Cardiff Business School.Google Scholar
  11. IS 5420 Part 1. (1973). Guide on precision of test methods—Principle and applications.Google Scholar
  12. ISO Standard 10012-1 Quality assurance requirements for measuring equipment.Google Scholar
  13. ISO/ IEC Standard 17025. Good laboratory Practice.Google Scholar
  14. Kelkar, P. S. (2004). Quality control for sampling and chemical analysis (Ref
  15. Kitchenham, B., et al. (1995). Case studies for method and tool evaluation. IEEE Software, 52–67.CrossRefGoogle Scholar
  16. Kueng, P. (2002). Process performance measurement system. Total Quality Management, 35(5), 67–85.Google Scholar
  17. Larsen, G. A. (2002–03). Measurement system analysis: The usual metrics can be non-informative. Quality Engineering, 15(2), 293–298.CrossRefGoogle Scholar
  18. Lilliken, G. A., & Johnson, D. E. (1984). Analysis of messy data, Vol. 1 Designed experiments. New York: Van Nostrand Reinhard.Google Scholar
  19. Mukherjee, S. P. (1996). Platinum Jubilee Lectures, Part I. Indian science Congress Association.Google Scholar
  20. Mukherjee, S. P. (2000). Quality of measurements in role of measurements in science and technology. In S. P. Mukherjee & B. Das (Eds.), Indian Association for Productivity, Quality & Reliability and National Academy of Sciences of India.Google Scholar
  21. Pendrill, L. (2008). Applications of statistics in measurement and testing.Google Scholar
  22. Tsai, P. (1988). Variable gage repeatability and reproducibility using the analysis of variance method. Quality Engineering, 1(1), 107–115.CrossRefGoogle Scholar
  23. Vardeman, S. B., & Van Valkenburg, E. S. (1999). Two way random effects analysis and gauge R&R studies. Technometrics, 41(3), 202–211.Google Scholar
  24. White, G. H. (2008). Basics of estimating measurement uncertainty. Clinical BioChemist Review, 29(Supplement!), 553–560.Google Scholar
  25. Winchell, W. (1996). Inspection and measurement: Keys to process panning and improvement. Society of Manufacturing Engineers.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of StatisticsUniversity of CalcuttaHowrahIndia

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