具有截尾观测的均匀分布的拟合优度检验。

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Journal of the Korean Statistical Society Pub Date : 2023-01-01 Epub Date: 2023-01-23 DOI:10.1007/s42952-023-00205-8

E P Sreedevi, Sudheesh K Kattumannil

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引用次数: 0

摘要

基于条件矩特征，我们开发了一种新的均匀分布拟合优度测试。我们研究了所提出的检验统计量的渐近性质。我们还提出了一个均匀分布的拟合优度检验，以纳入右删失观测，并研究了其性质。进行了蒙特卡罗模拟研究，以评估所提出的测试的有限样本性能。我们使用真实的数据集来说明测试过程。

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Goodness of fit test for uniform distribution with censored observation.

We develop new goodness of fit test for uniform distribution based on a conditional moment characterization. We study the asymptotic properties of the proposed test statistic. We also present a goodness of fit test for uniform distribution to incorporate the right censored observations and studied its properties. A Monte Carlo simulation study is carried out to evaluate the finite sample performance of the proposed tests. We illustrate the test procedures using real data sets.

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来源期刊

Journal of the Korean Statistical Society 数学-统计学与概率论

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

3 months

期刊介绍： The Journal of the Korean Statistical Society publishes research articles that make original contributions to the theory and methodology of statistics and probability. It also welcomes papers on innovative applications of statistical methodology, as well as papers that give an overview of current topic of statistical research with judgements about promising directions for future work. The journal welcomes contributions from all countries.