论文标题
在加权外部
On Weighted Extropies
论文作者
论文摘要
室外是LAD等人引入的信息的量度。 （2015年）作为熵的双重。作为熵，它是独立于移位的信息度量。我们在这里介绍了加权外层的概念，这是一种依赖移位的信息度量，它为观察到的随机变量的大值提供了更高的权重。我们还将加权残差和过去的外部研究为剩余和过去一生的外观的加权版本。还提供了双变量版本外室外和加权外室。介绍了几个示例，以说明此处介绍的各种概念。
The extropy is a measure of information introduced by Lad et al. (2015) as dual to entropy. As the entropy, it is a shift-independent information measure. We introduce here the notion of weighted extropy, a shift-dependent information measure which gives higher weights to large values of observed random variables. We also study the weighted residual and past extropies as weighted versions of extropy for residual and past lifetimes. Bivariate versions extropy and weighted extropy are also provided. Several examples are presented through out to illustrate the various concepts introduced here.
