首页> 外文期刊>International Journal of Applied Mathematical Research >ADK divergence measure and testing exponentiality based on estimated ADK information
【24h】

ADK divergence measure and testing exponentiality based on estimated ADK information

机译:基于估计的ADK信息的ADK差异度量和测试指数

获取原文
           

摘要

In this paper, I define the two parameter ADK divergence measure, as a generalized of Re'nyi divergence measure. Also I introduce a goodness of t tests for exponentiality based on the estimated ADK information. I use an estimator for ADK distance in manner of Correa estimate. Critical values of the test are obtained by Monte Carlo simulation. The power of the test is computed under gamma distribution. Keywords: KADK entropy; Renyi entropy; Shannon entropy; Kullback - Leibler divergence measure; Renyi divergence measure; ADK divergence measure; Exponentiality test; Critical value.
机译:在本文中,我定义了两个参数ADK散度测度,作为Re'nyi散度测度的推广。另外,我还基于估计的ADK信息介绍了t检验的优度。我以Correa估计的方式使用ADK距离的估计器。通过蒙特卡洛模拟获得测试的临界值。测试的功效是根据伽玛分布计算的。关键词:KADK熵仁义熵香农熵Kullback-Leibler差异度量;仁义差异测度; ADK差异度量;指数测试;临界值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号