On weighted measure of inaccuracy for doubly truncated random variables

Recently, authors have studied weighted version of Kerridge inaccuracy measure for truncated distributions. In the present communication we introduce the notion of weighted interval inaccuracy measure for two-sided truncated random variables. In reliability theory and survival analysis, this measure may help to study the various characteristics of a system/component when it fails between two time points. Various aspects of weighted interval inaccuracy measure have been discussed and some characterization results have been provided. This new measure is a generalization of recent dynamic weighted inaccuracy measure.