The NIST Fundamentals of Uncertainty Analysis Short Course will be held March 29-31, 2011, at NIST in Gaithersburg, Maryland in Building 222, Room A330. The course is offered once a year and covers the propagation of measurement uncertainty using the methods outlined in the JCGM Guide to the Expression of Uncertainty in Measurement from a statistical perspective for a wide range of different types of measurements. The short course will provide participants with a working knowledge of the methods needed to compute measurement uncertainties, hands-on experience in their application, and scientific and statistical insight into the interpretation of the results.
Agenda:
The NIST Fundamentals of Uncertainty Analysis Short Course is a 3-day course held on the NIST campus in Gaithersburg, Maryland. 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. Users may bring their own laptops, or a laptop for use during the short course will be provided to each participant.
Attendance for the course is limited to 24 participants. Pre-registration is required and acceptance is determined on a first-come, first-served basis.
Topics Covered:
- 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
Further details on registration and accommodation are available here–NIST Fundamentals of Uncertainty Analysis Short Course.
Technical Contact:
Will Guthrie
301-975-2854
[email protected]
Hung-kung Liu
301-975-2718
[email protected]