In this paper we prove supnorm weak convergence and efficiency of the
NPMLE in the one-dimensional line-segment problem as introduced by Las
lett (1982). The analysis is based on a general identity for the NPMLE
of Linear parameters on convex models (van der Laan, 1993), Furthermo
re, a quirk algorithm for estimation of the limiting variance is given
so that confidence intervals can be constructed.