For discussion at 26 Sept 2011 ATLAS/CMS Statistics Meeting ------------- Status of Limit Procedures at the LHC Bob Cousins, Glen Cowan, Kyle Cranmer, Luc Demortier, Tommaso Dorigo, Eilam Gross, Louis Lyons, Bill Murray, Alex Read and Ofer Vitells. For setting limits, the following general points are agreed by both the ATLAS and CMS Statistics Groups: The groups recognize the utility and convenience of using a single baseline method for reporting limits. To this end, the CLs procedure has been agreed as a common method, together with Bayesian limits for those analyses where this has been existing practice. Beyond the baseline methods, many representatives of the Statistics Groups believe there is an important benefit in reporting results based on more than one approach, e.g., Frequentist Bayesian Likelihood-based The relative merits of the different alternatives remains a topic of some debate within the ATLAS and CMS Statistics Groups. We therefore propose to continue discussing these alternatives, particularly the issue of one-sided versus unified frequentist intervals. There is general agreement that Bayesian limits should be used and therefore this is emerging as the method with the greatest level of common support between the two collaborations. This is already the method used for some analyses. For the Bayesian approach to be recommended more widely, a number of important issues should be resolved, most crucially the choice of prior probabilities. It has been argued on both the ATLAS and CMS sides that the constant prior for a Poisson mean (e.g., cross section) is already widely established as a benchmark in the community and has certain desirable properties, such as providing upper limits equal to the frequentist limits in certain special cases. Others (also on both the ATLAS and CMS sides) prefer so-called reference priors. Priors for other types of parameters of interest (e.g., SUSY parameters) must also be considered. We propose to continue discussing this issue and produce a common recommendation on a time scale of the next several months. It is also recommended to investigate likelihood-based methods (i.e., minuit/minos), particularly for multi-parameter problems. These recommendations should not preclude analyses by either collaboration that employ alternative methods for cross checks. It is planned to provide more detailed recommendations for implementing the various methods as soon as possible.