A JACKKNIFE EMPIRICAL LIKELIHOOD APPROACH TO GOODNESS OF FIT U-STATISTICS TESTING WITH SIDE INFORMATION By

Motivated by applications to goodness of fit U-statistics testing, the empirical likelihood approach is generalized to allow for the number of constraints to grow with the sample size and for the constraints to use estimated criteria functions. The latter is needed to handle naturally occurring nuisance parameters. The proposed empirical likelihood based… (More)