European Metrology Network for Mathematics and Statistics

The document below prioritises guidance, software tools and reference data identified by EMN Mathmet.

• Software supporting mathematics and statistics in metrology is often used for simulating measurement processes, for data evaluation and for uncertainty assessment.
• Recent developments in the field of data analysis and machine learning show the importance of data. The need for reference data is increasing and it is expected that reference data sets will become more and more important in metrology as in other fields.
• The most important guidelines for stakeholders in the field of mathematics and statistics in metrology as well as for Mathmet members are mainly documents about uncertainty evaluation (e.g. the GUM suite of documents). Some stakeholders indicated a need for guidance on new trends or specific applications (e.g. medical applications, machine learning, climate and environmental observations).

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