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CCQM_Retrospectoscope Reference Manual: A detailed reference to the CCQM_Retrospectoscope, a suite of graphical tools for the meta-analysis of measurement results from CCQM studies

Published

Author(s)

David L. Duewer, Michael Nelson, Christina Cecelski

Abstract

The CCQM_Retrospectoscope system combines a nominally complete database of results from Consultative Committee for the Amount of Substance: Metrology in Chemistry and Biology (CCQM) studies with a number of graphical tools for trying to make sense of the data. This system supports a diverse collection of often eye-opening appraisals of participation and measurement performance throughout the history of the CCQM activities. The appraisals include the bias, uncertainty, and degrees of equivalence of results submitted by individual national metrology or designated institutes (NMI|DIs); the relative performance of NMI|DIs, and the uncertainty function characteristic of entire Working Groups (WGs). The system is implemented in Excel using Microsoft's Visual Basic for Applications (VBA) programs. It runs on both Windows and Macintosh platforms.
Citation
NIST Interagency/Internal Report (NISTIR) - 8478
Report Number
8478

Keywords

Consultative Committee for the Amount of Substance: Metrology in Chemistry and Biology (CCQM), designated institute, Electroanalytical Working Group (EAWG), Gas Analysis Working Group (GAWG), graphical data analysis, Inorganic Analysis Working Group (IAWG), Key Comparisons (KC), national metrology institute (NMI), Organic Analysis Working Group (OAWG), pilot studies, Supplementary Comparisons (SC).

Citation

Duewer, D. , Nelson, M. and Cecelski, C. (2023), CCQM_Retrospectoscope Reference Manual: A detailed reference to the CCQM_Retrospectoscope, a suite of graphical tools for the meta-analysis of measurement results from CCQM studies, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8478, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936607 (Accessed April 17, 2024)
Created September 12, 2023