  We study the frequentist properties of confidence intervals computed by the
method known to statisticians as the Profile Likelihood. It is seen that the
coverage of these intervals is surprisingly good over a wide range of possible
parameter values for important classes of problems, in particular whenever
there are additional nuisance parameters with statistical or systematic errors.
Programs are available for calculating these intervals.
