 Conditional likelihood

A conditional likelihood evaluates the conditional distribution of the observed data given a specified statistic. If that distribution does not involve a nuisance parameter, it permits inference about the remaining parameter without estimating the nuisance parameter. The conditioning statistic need not be ancillary; possible information loss must be assessed within the model. Conditional maximum likelihood maximizes this function.