Software tools - Introduction
Software supporting mathematics and statistics in metrology is often used for simulating measurement processes, for data evaluation and for uncertainty assessment. Urgent software tools from the perspective of mathematics and statistics in metrology were identified by a stakeholder consultation process and long-term experiences from the EMN Mathmet.
The following table shows a summary of the most relevant software tools.
Reference 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. They are expected to act as “digital standards” for the benchmarking and validation of AI tools, digital twins and virtual metrology models. The urgent needs for reference data for mathematics and statistics in metrology were identified by the stakeholder consultation process and long-term experiences from the members of the EMN Mathmet.
The following table shows a summary of the most relevant reference data.
Guidelines
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 had indicated a need for guidance on new trends or specific applications (e.g. medical applications, machine learning, climate and environmental observations). The urgent needs for guidelines for mathematics and statistics in metrology were indentified by a stakeholder consultation process and long-term experiences from the members of the EMN Mathmet.
The following table shows a summary of the most relevant guidelines.
Disclaimer
The information in this database has been provided by the Members and Partners of the EMN for Mathematics and Statistics. EURAMET has no influence on their correctness and does not assume any liability for it.
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