(Translated by https://www.hiragana.jp/)
BIPM - Guide to the Expression of Uncertainty in Measurement (GUM)
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  – the intergovernmental organization through which Member States act together
     on matters related to measurement science and measurement standards.
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GUM: Guide to the Expression of Uncertainty in Measurement

click to download ZIP file
In order to benefit fully from the hyperlinking between the documents, the reader is advised to download all JCGM documents presently available in one ZIP file.

The fundamental reference document is the Guide to the Expression of Uncertainty in Measurement (GUM):

Evaluation of measurement data – Guide to the expression of uncertainty in measurement
JCGM 100:2008
(GUM 1995 with minor corrections)
 click to download PDF file
Note: JCGM 100:2008 is also available in HTML form from the JCGM portal on ISO's website.

The JCGM Working Group 1 (JCGM-WG1) is producing a series of documents to accompany the GUM. The first four of these documents have been approved and are available for download as PDF files. Printed copies are available for purchase from ISO.

Evaluation of measurement data – An introduction to the "Guide to the expression of uncertainty in measurement" and related documents
JCGM 104:2009
 click to download PDF file
Evaluation of measurement data – Supplement 1 to the "Guide to the expression of uncertainty in measurement" – Propagation of distributions using a Monte Carlo method
JCGM 101:2008
 click to download PDF file
Evaluation of measurement data – Supplement 2 to the "Guide to the expression of uncertainty in measurement" – Extension to any number of output quantities
JCGM 102:2011
 click to download PDF file
Evaluation of measurement data – The role of measurement uncertainty in conformity assessment
JCGM 106:2012
 click to download PDF file
Evaluation of measurement data – Concepts and basic principles  

The following documents are at an early stage of preparation:

Evaluation of measurement data – Supplement 3 to the "Guide to the expression of uncertainty in measurement" – Modelling  
Evaluation of measurement data – Applications of the least-squares method