Estimating the endpoint of a uniform distribution under normal measurement errors with known error variance

The paper studies the problem of estimating the upper end point of
a finite interval when the data come from a uniform distribution on
this interval and are disturbed by normally distributed measurement
errors with known variance. Maximum likelihood and method of
moments estimators are introduced and compared to each other.