论文标题
基于新表征的指数性测试，用于随机审查数据
New characterization based exponentiality tests for randomly censored data
论文作者
论文摘要
最近，基于表征的拟合良好测试的方法已变得流行。大多数建议的测试都是为完整的I.I.D.设计的。样品。在这里，我们介绍了最近提出的基于对随机审查数据的情况的等分分配类型特征的指数测试的适应。提供了它们的渐近特性。此外，我们介绍了广泛的经验力量研究的结果，包括最近的几个竞争对手的力量。这项研究可以用作为这种数据提出的未来测试的基准。
Recently, the characterization based approach for the construction of goodness of fit tests has become popular. Most of the proposed tests have been designed for complete i.i.d. samples. Here we present the adaptation of the recently proposed exponentiality tests based on equidistribution-type characterizations for the case of randomly censored data. Their asymptotic properties are provided. Besides, we present the results of wide empirical power study including the powers of several recent competitors. This study can be used as a benchmark for future tests proposed for this kind of data.
