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Testing the equality among distribution functions from independent and right censored samples via Cramer-von Mises criterion

机译：通过Cramer-von Mises准则测试独立和右删失样本的分布函数之间的相等性

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Purpose: To develop test procedure for comparing the equality of the underlying lifetime distributions in the presence of independent censoring times. Summary: The situation where lifetime data coupled with independent censored data exist is discussed. In this regard, it is observed that the nonparametric K-sample comparisons are in the offing and one of which is commonly used tests that are called the linear rank tests also know as weighted tests. In this paper, the k-sample generalization of the Cramer-von Mises statistic is used in order to compare the k-survival curves by plugging estimated distribution functions. The performance of the proposed test is studied for different scenarios and under different censoring time distributions. Both simulation and real time data analyses are presented for the illustration of performance of the proposed test. (29 refs.)
机译：目的：开发一种测试程序，以比较在存在独立审查时间的情况下基础生命周期分布的相等性。摘要：讨论了存在生命周期数据和独立审查数据的情况。在这方面，可以观察到非参数K样本比较即将发生，其中一种是称为线性秩次检验的常用检验，也称为加权检验。在本文中，使用Cramer-von Mises统计量的k样本泛化来通过插入估计的分布函数来比较k生存曲线。针对不同场景和不同审查时间分布，研究了所提出测试的性能。仿真和实时数据分析均用于说明所建议测试的性能。 （29参考）

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