GUM Origins and Applications of Essay

Excerpt from Essay :

Cox, Forbes & Harris for example claim that:

The scope of the GUM is generally restricted to models with a single output quantity, so that metrology fields involving complex quantities are not directly covered. The presentation of the material is sometimes criticized and a number of documents aimed at providing a more tutorial explanation have been published [1, 26]. If Bayesian methods are to be used widely in metrology, they will need to be related to and made consistent with the general principles of the GUM. This could be the topic of a further supplement and could include guidance material on modelling, model selection and model validation. We should point out that Bayesian methods already have some currency in metrology and have had so for some time [27]. (2004, pp. 87-88)

Though the common use and understanding and indeed the spread of the GUM method of expressing uncertainty is clear the evolving trends in its use will likely continue to include suggestions for both suspension and expansion of its use in meteorology and elsewhere.

References

Ashley, K, Brisson, M, Howe, A, & Bartley, D 2009, 'Interlaboratory Evaluation of a Standardized Inductively Coupled Plasma Mass Spectrometry Method for the Determination of Trace Beryllium in Air Filter Samples', Journal of Occupational & Environmental Hygiene, 6, 12, pp. 745-750, Academic Search Premier, EBSCOhost, viewed 24 June 2011.

Bell, S 1999 A Beginner's Guide to Uncertainty of Measurement http://www.wmo.int/pages/prog/gcos/documents/gruanmanuals/UK_NPL/mgpg11.pdf

Cox, M, Forbes, A, & Harris, P 2004, 'Bayesian estimation methods in metrology', AIP Conference Proceedings, 735, 1, pp. 84-95, Academic Search Premier, EBSCOhost, viewed 24 June 2011.

Datla, R, Kessel, R, Smith, A, Kacker, R, & Pollock, D 2010, 'Review Article: Uncertainty analysis of remote sensing optical sensor data: guiding principles to achieve metrological consistency', International Journal of Remote Sensing, 31, 4, pp. 867-880, Academic Search Premier, EBSCOhost, viewed 24 June 2011.

ISO 2011 ISO/IEC Guide 98-3:2008 http://www.iso.org/iso/iso_catalogue/catalogue_ics/catalogue_detail_ics.htm?csnumber=50461

JCGM 2008 Evaluation of measurement data: Guide to the expression of uncertainty in measurement. http://www.bipm.org/utils/common/documents/jcgm/JCGM_100_2008_E.pdf

Sources Used in Documents:

References

Ashley, K, Brisson, M, Howe, A, & Bartley, D 2009, 'Interlaboratory Evaluation of a Standardized Inductively Coupled Plasma Mass Spectrometry Method for the Determination of Trace Beryllium in Air Filter Samples', Journal of Occupational & Environmental Hygiene, 6, 12, pp. 745-750, Academic Search Premier, EBSCOhost, viewed 24 June 2011.

Bell, S 1999 A Beginner's Guide to Uncertainty of Measurement http://www.wmo.int/pages/prog/gcos/documents/gruanmanuals/UK_NPL/mgpg11.pdf

Cox, M, Forbes, A, & Harris, P 2004, 'Bayesian estimation methods in metrology', AIP Conference Proceedings, 735, 1, pp. 84-95, Academic Search Premier, EBSCOhost, viewed 24 June 2011.

Datla, R, Kessel, R, Smith, A, Kacker, R, & Pollock, D 2010, 'Review Article: Uncertainty analysis of remote sensing optical sensor data: guiding principles to achieve metrological consistency', International Journal of Remote Sensing, 31, 4, pp. 867-880, Academic Search Premier, EBSCOhost, viewed 24 June 2011.

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