  To overcome the drawbacks of Shannon's entropy, the concept of cumulative
residual and past entropy has been proposed in the information theoretic
literature. Furthermore, the Shannon entropy has been generalized in a number
of different ways by many researchers. One important extension is Kerridge
inaccuracy measure. In the present communication we study the cumulative
residual and past inaccuracy measures, which are extensions of the
corresponding cumulative entropies. Several properties, including monotonicity
and bounds, are obtained for left, right and doubly truncated random variables.
