  The use of second order boundary kernels for distribution function estimation
was recently addressed in the literature (C. Tenreiro, 2013, Boundary kernels
for distribution function estimation, REVSTAT-Statistical Journal, 11,
169-190). In this note we return to the subject by considering an enlarged
class of boundary kernels that shows it self to be especially performing when
the classical kernel distribution function estimator suffers from severe
boundary problems.
