Uniform in bandwidth limit laws for kernel distribution function estimators
David M. Mason, Jan W. H. Swanepoel · Institute of Mathematical Statistics collections · 2013
We use results from modern empirical process theory to establish a uniform in bandwidth central limit theorem, laws of the iterated logarithm and Glivenko–Cantelli theorem for kernel distribution function estimators.