Bahadur efficiency of the Watson–Darling goodness-of-fit tests

The rough asymptotic behavior of the probability of large deviations is found for Watson–Darling goodness-of-fit tests, which are “centered” versions of Kolomogorov-Smirnov statistics. Their Bahadur effectiveness is calculated and conditions for local asymptotic optimality for the alternative of translation are studied.