Abstract

Let 0=U0,nU1,nUn1,nUn,n=1 be an ordered sample from uniform [0,1] distribution, and Din=Ui,nUi1,n, i=1,2,,n; n=1,2,, be their spacings, and let f1n,,fnn be a set of measurable functions. In this paper, the probabilities of the moderate and Cramer-type large deviation theorems for statistics Rn(D)=f1n(nD1n)++fnn(nDnn) are proved. Application of these theorems for determination of the intermediate efficiencies of the tests based on Rn(D)-type statistic is presented here too.