不等样本排序集抽样和最大排序集抽样的过去熵和负累积熵性质

Irshad M R, Maya R, Archana K, Tahmasebi S
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引用次数: 1

摘要

排序集抽样被认为是简单随机抽样的一种替代方法,最大排序集抽样是对排序集抽样的一种非常有用的改进。本文从以往的熵测度出发,重点研究了不等样本的排序集抽样和最大排序集抽样的信息量,并考虑了基于最大排序集抽样和简单随机抽样设计的负累积熵及其动态版本的信息量。并将秩集抽样数据、最大秩集抽样数据与简单随机抽样数据进行了比较。在简单随机抽样数据、排序集抽样数据和最大排序集抽样数据之间,给出了一种新的判别信息测度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Past Extropy and Negative Cumulative Extropy Properties of Ranked Set Sampling and Maximum Ranked Set Sampling with Unequal Samples
Ranked set sampling is considered as an alternative to simple random sampling and maximum ranked set sampling is a very useful modification of ranked set sampling. In this paper we focused on information content of ranked set sampling and maximum ranked set sampling with unequal samples in terms of past extropy measure and also considered the information content of negative cumulative extropy and its dynamic version based on maximum ranked set sampling and simple random sampling designs. We also compare ranked set sampling data, maximum ranked set sampling data with simple random sampling and with each other. Also here we obtained a new discrimination information measure among simple random sampling data, ranked set sampling data and maximum ranked set sampling data for past extropy measure.
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