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Models for the Propagation of Uncertainty

Thomas Burns*, Southern Oregon University (Undergraduate Student)
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
Talk Type: 
Oral Presentation
Sunday, March 22, 2015 - 15:15