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Truncated variable algorithm using DUS-neutrosophic Weibull distribution
Complex & Intelligent Systems ( IF 5.0 ) Pub Date : 2022-11-21 , DOI: 10.1007/s40747-022-00912-5
Muhammad Aslam

The existing truncated variable method to generate random variate cannot be applied when indeterminacy is presented in either the parameters or observations. This paper addresses the truncated variable simulation under the indeterminate environment. The truncated variable simulation method will be introduced using the DUS-neutrosophic Weibull distribution. The algorithm to generate random variate will be presented and applied in random variate generation. Extensive simulation tables for various values of indeterminacy and truncated variables are presented. The proposed study for other neutrosophic statistical distribution can be extended as future research.



中文翻译:

使用 DUS-中智威布尔分布的截断变量算法

当参数或观测值存在不确定性时,无法应用现有的截断变量方法来生成随机变量。本文主要研究不确定环境下的截断变量仿真。将使用DUS-中智威布尔分布引入截断变量模拟方法。将介绍生成随机变量的算法并将其应用于随机变量生成。给出了各种不确定性和截断变量值的广泛模拟表。拟议的其他中智统计分布研究可以扩展为未来的研究。

更新日期:2022-11-22
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