The NIST Fundamentals of Uncertainty Analysis Short Course is a 3-day course held on the NIST campus in Gaithersburg, Maryland. It is offered to participants from the public once or twice a year as demand dictates.
The course consists of lectures, short exercises, and hands-on applications covering many aspects of the propagation of uncertainty using the methods outlined in the JCGM Guide to the Expression of Uncertainty in Measurement. The exercises and hands-on applications will use functions for uncertainty analysis from the free software package, metRology, written for the open-source R statistical computing environment. The functions will be accessed via an Excel graphical user interface that is available as a free Excel add-in.
It is recommended that users bring their own laptops for use during the short course. However, the Statistical Engineering Division may be able to provide some laptops for use during the short course for participants who cannot bring one. Please contact the instructors to arrange for use of a laptop during the short course.
Attendance for the course is limited to 24 participants. Pre-registration is required and acceptance is determined on a first-come, first-served basis.
- Importance of uncertainty analysis
- Different statistical approaches for uncertainty analysis
- Essentials of the GUM approach
- Measurement functions
- Type A and Type B methods for evaluating standard uncertainties
- Degrees of freedom
- Sensitivity coefficients
- Propagation of standard uncertainties
- Effective degrees of freedom
- Expanded uncertainties
- Software for propagation of uncertainty
- Interpretation of results