Introducing Kolmogorov-Smirnov Tests under Uncertainty: An Application to Radioactive Data
Introducing Kolmogorov-Smirnov Tests under Uncertainty: An Application to Radioactive Data
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DOI：
10.1021/acsomega.9b03940
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发表时间：
2020-01-14
期刊：
影响因子：
4.1
通讯作者：
Aslam, Muhammad
中科院分区：
文献类型：
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作者：
Aslam, Muhammad
基于样本中确定观测值假设的Kolmogorov-Smirnov（K-S）检验已广泛应用于数据分析。现有的单样本和双样本的K-S检验方法，在数据中含有复杂系统或不确定性的观测值时，不能适用。本文提出了在统计量下对已有K-S检验的推广。所提出的测试被称为非线性Kolmogorov-Smirnov（NK-S）测试。我们提出了必要的措施和程序来执行拟议的测试。文中给出了一个实例和所提出的NK-S检验的优点。
The Kolmogorov-Smirnov (K-S) tests based on the assumptions of determined observations in the sample have been popularly applied for the analysis of the data. The existing K-S tests for one sample and two samples cannot be applied when the data contains neutrosophic observations measured from the complex system or under uncertainty. In this paper, we propose the generalization of the existing K-S tests under the neutrosophic statistics. The proposed tests are known as neutrosophic Kolmogorov-Smirnov (NK-S) tests. We present the necessary measures and procedures to perform the proposed tests. An example and advantages of the proposed NK-S tests are given in the paper.