  The lifetimes of subjects which are left-censored lie below a threshold value
or a limit of detection. A popular tool used to handle left-censored data is
the reversed hazard rate. In this work, we study the properties and develop
characterizations of a class of distributions based on proportional reversed
hazard rates used for analyzing left censored data. These characterizations are
applied to simulate samples as well as analyze real data using distributions
belonging to this class.
