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Dynamic cumulative residual Renyi's entropy

机译:动态累积残差人一熵

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摘要

Recently, cumulative residual entropy (CRE) has been found to be a new measure of information that parallels Shannon's entropy (see Rao et al. [Cumulative residual entropy: A new measure of information, IEEE Trans. Inform. Theory. 50(6) (2004), pp. 1220-1228] and Asadi and Zohrevand [On the dynamic cumulative residual entropy, J. Stat. Plann. Inference 137 (2007), pp. 1931-1941]). Motivated by this finding, in this paper, we introduce a generalized measure of it, namely cumulative residual Renyi's entropy, and study its properties. We also examine it in relation to some applied problems such as weighted and equilibrium models. Finally, we extend this measure into the bivariate set-up and prove certain characterizing relationships to identify different bivariate lifetime models.
机译:最近,已经发现累积残差熵(CRE)是一种与Shannon熵相似的信息新度量(请参阅Rao等人[累积残量熵:一种新的信息度量,IEEE Trans。Inform。Theory。50(6))。 (2004),第1220-1228页]和Asadi和Zohrevand [关于动态累积残留熵,J。Stat。Plann。Inference 137(2007),第1931-1941页])。基于这一发现,本文引入了广义的度量,即累积剩余仁义熵,并研究了其性质。我们还针对一些应用问题(例如加权模型和均衡模型)进行了研究。最后,我们将此度量扩展到双变量设置中,并证明某些特征关系以识别不同的双变量寿命模型。

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