Liminf law of the iterated logarithm for the smooth empirical distribution function  

作　　者：周勇 

出　　处：《Chinese Science Bulletin》1996年第3期185-189,共5页

基　　金：National Natural Science Foundation of China

摘　　要：The study of perturbed (smoothed) empirical distribution has received considerable at-tention. The monograph by Reiss gives a particularly lucid exposition of the mathematical attractions of smoothing the empirical distribution function (e.d.f.): it is intuitively appealing; it is easy to compute, it provides increased second-order efficiency (see refs. [2, 3]) and it improves the speed of convergence in Bootstrap (see refs. [4,5]).

关 键 词：liminf LAW of ITERATED LOGARITHM SMOOTH empirical DISTRIBUTION function. 

分 类 号：O174[理学—数学]