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- W2605512059 abstract "To overcome the drawbacks of a shift-independent information measure, Di Crescenzo and Longobardi (2006) proposed weighted differential entropy. Motivated by this, the cumulative residual entropy can be generalized to weighted cumulative residual entropy. In this communication, we consider the weighted cumulative residual entropy and its dynamic version. These measures are useful in neurology and reliability engineering. Several results including bounds, inequalities, effects of linear transformations are obtained. Further, we propose two new classes of distributions and study closure and reversed closure properties. Finally, dynamic weighted cumulative residual entropy of residual lifetime of a series system is studied." @default.
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- W2605512059 date "2017-03-04" @default.
- W2605512059 modified "2023-10-18" @default.
- W2605512059 title "On weighted cumulative residual entropy" @default.
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- W2605512059 doi "https://doi.org/10.1080/09720510.2016.1224471" @default.
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