A relational technique for estimating the age‐specific mortality pattern from grouped data

This paper presents a new technique of expanding an abridged life table. This technique is a non‐parametric one, which relates the probabilities of dying of the abridged table to those of a standard complete table. In order to evaluate the accuracy of the new technique we use it, as well as two other techniques, for expanding empirical abridged data sets. According to the results of our calculations the new method proves very efficient in producing complete life tables from grouped data, in many cases producing more accurate results than the other two methods in spite of its simplicity.