Confidence intervals and upper bounds for small signals in the presence of background noise

We discuss a new method for setting limits on small signals in the presence of background noise. The method is based on a combination of a two-dimensional confidence region and the large sample approximation to the likelihood ratio test statistic. It automatically quotes upper limits for small signals and two-sided confidence intervals for larger samples. We show that this method gives the correct coverage and also has good power.