Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
American Association for Laboratory Accreditation. (2014). Guide G104 for Estimation of Measurement Uncertainty in Testing.
Automobile Institute Action Group. (2002). Measurement system analysis manual. Detroit, MI, USA: AIAG.
Bell, S. (1999). Measurement good practice guide #11 a beginner’s guide to uncertainty of measurement. Technical report. National Physical laboratory.
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.
Deutler, T. (1991). Grubbs-type estimators of reproducibility variances in an inter-laboratory test study. Journal of Quality Technology, 23(4), 324–335.
Dietrich, C. F. (1991). Uncertainty, calibration and probability. Bristol, U.K.: Adam Hilger.
EA-4/02M rev.2. (2013). Evaluation of the uncertainty of measurements in calibration. European Accreditation Organisation.
Fridman, A. E. (2012). The quality of measurements: A metrological reference.USA: Springer.
Grabe, M. (2005). Measurement uncertainties in science and technology. USA: Springer.
Holweg, M. (2000). Measuring cost and performance. Cardiff Business School.
IS 5420 Part 1. (1973). Guide on precision of test methods—Principle and applications.
ISO Standard 10012-1 Quality assurance requirements for measuring equipment.
ISO/ IEC Standard 17025. Good laboratory Practice.
Kelkar, P. S. (2004). Quality control for sampling and chemical analysis (Ref mpcb.gov.in/envtdata/QA-QC-PSK.pdf).
Kitchenham, B., et al. (1995). Case studies for method and tool evaluation. IEEE Software, 52–67.
Kueng, P. (2002). Process performance measurement system. Total Quality Management, 35(5), 67–85.
Larsen, G. A. (2002–03). Measurement system analysis: The usual metrics can be non-informative. Quality Engineering, 15(2), 293–298.
Lilliken, G. A., & Johnson, D. E. (1984). Analysis of messy data, Vol. 1 Designed experiments. New York: Van Nostrand Reinhard.
Mukherjee, S. P. (1996). Platinum Jubilee Lectures, Part I. Indian science Congress Association.
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.
Pendrill, L. (2008). Applications of statistics in measurement and testing.
Tsai, P. (1988). Variable gage repeatability and reproducibility using the analysis of variance method. Quality Engineering, 1(1), 107–115.
Vardeman, S. B., & Van Valkenburg, E. S. (1999). Two way random effects analysis and gauge R&R studies. Technometrics, 41(3), 202–211.
White, G. H. (2008). Basics of estimating measurement uncertainty. Clinical BioChemist Review, 29(Supplement!), 553–560.
Winchell, W. (1996). Inspection and measurement: Keys to process panning and improvement. Society of Manufacturing Engineers.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Mukherjee, S. (2019). Quality of Measurements. In: Quality. India Studies in Business and Economics. Springer, Singapore. https://doi.org/10.1007/978-981-13-1271-7_6
Download citation
DOI: https://doi.org/10.1007/978-981-13-1271-7_6
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1270-0
Online ISBN: 978-981-13-1271-7
eBook Packages: Business and ManagementBusiness and Management (R0)