Bivariate Weighted Residual and Past Entropies

G. Rajesh, E. I. Abdul-Sathar, R. Nair
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引用次数: 1

Abstract

The weighted entropy introduced by Belis and Guiasu (1968) is viewed as a measure of uncertainty. Di Crescenzo and Longobardi (2006) proposed dynamic form of these measure namely weighted residual (WRE) and past entropies (WPE). In this paper, we extend the definition of weighted residual and past entropies to bivariate setup and obtain some of its properties. Several properties, including monotonicity and bounds of BWRE and BWRP are obtained. We also look into the problem of extending WRE and WPE for conditionally specified models. Several properties, including bounds of CWRE and CWPE are obtained for conditional distributions. It is shown that the proposed measure uniquely determines the distribution function.
二元加权残差和过去熵
Belis和Guiasu(1968)引入的加权熵被视为不确定性的度量。Di Crescenzo和Longobardi(2006)提出了这些度量的动态形式,即加权残差(WRE)和过去熵(WPE)。本文将加权残差和过去熵的定义推广到二元设置中,得到了它的一些性质。得到了BWRE和BWRP的单调性和界等性质。我们还研究了为条件指定模型扩展WRE和WPE的问题。得到了条件分布的几个性质,包括CWRE和CWPE的界。结果表明,该方法唯一地确定了分布函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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