估计员
度量(数据仓库)
非参数统计
数学
统计
随机变量
计算机科学
核密度估计
转化(遗传学)
比例(比率)
核(代数)
数据挖掘
离散数学
基因
物理
量子力学
化学
生物化学
作者
Majid Hashempour,Morteza Mohammadi
标识
DOI:10.1017/s0269964823000086
摘要
Abstract We introduce a new measure of inaccuracy based on extropy between distributions of the n th upper (lower) record value and parent random variable and discuss some properties of it. A characterization problem for the proposed extropy inaccuracy measure has been studied. It is also shown that the defined measure of inaccuracy is invariant under scale but not under location transformation. We characterize certain specific lifetime distribution functions. Nonparametric estimators based on the empirical and kernel methods for the proposed measures are also obtained. The performance of estimators is also discussed using a real dataset.
科研通智能强力驱动
Strongly Powered by AbleSci AI