Models for the Propagation of Uncertainty

Author(s)
Thomas
Burns
*,
Southern Oregon University
Talk Abstract
Simple estimates of the level of uncertainty in a measurement (usually as relative or absolute error) are easy to calculate and understand, but when doing any sort of computation or inference using these measurements, things become quite a bit more complicated. This project explores several models for dealing with the propagation of uncertainty and will discuss probabilistic justifications for these standards and the difficulties of finding associated confidence intervals.
Talk Subject
Probability and Statistics
Time Slot
2015-03-22T15:15:00