Speaker
Description
Intricately linked with the estimation of parameters is the question on how
to obtain meaningful uncertainties on the obtained parameters. In these two
lectures, we will look at this problem in detail and discuss confidence
intervals on extracted parameters. We will start with a simple case of a
counting experiment following Poissonian statistics. This will lead us to
the coverage of uncertainties, which we will use to study different
estimators for the statistical uncertainty. We will continue with the more
general case of how to obtain confidence intervals for a true parameter,
given a measurement of a quantity related to this parameter. The lecture
will cover confidence intervals close to physical boundaries and limit
setting with the CLs method.
