修正逆NHE分布:性质及应用

A. Chaudhary, L. Sapkota, Vijay Kumar
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引用次数: 1

摘要

在本研究中,我们定义了一种修正形式的NHE逆分布。建议的分布的危险函数可能是一个常数或递增的形状。所建议的分布的一些统计性质都是清楚地推导出来的。最大似然,最小二乘法和克莱默-冯-米塞斯方法被应用于确定新分布的参数。对于估计量,也确定了渐近置信区间。使用实际数据集评估新分布的拟合性。我们发现,建议的分布已被证明是有效的建模实际数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified Inverse NHE Distribution: Properties and Application
We have defined a modified form of the inverse NHE distribution in this study. The suggested distribution's hazard function might be shaped like a constant or increasing. Some of the suggested distribution's statistical properties are all clearly derived. Maximum likelihood, Least squares, and Cramer-Von-Mises methods are applied to determine the novel distribution's parameters. For estimators, the asymptotic confidence intervals have been determined as well. The fit of the new distribution is evaluated using an actual data set. We've found that the suggested distribution has proven to be effective in modeling real data set.
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