分位数残差事件时间的简化k样本非参数假设检验

IF 0.9 4区数学 Q3 STATISTICS & PROBABILITY

Statistics & Probability Letters Pub Date : 2025-05-27 DOI:10.1016/j.spl.2025.110463

Nathan T. Provost, Abdus S. Wahed

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引用次数: 0

摘要

我们提出了一种可接近的多样本假设检验程序，用于检查任意数量的组中分位数剩余事件时间的潜在差异。此外，还提供了一种辅助测试程序，该程序允许识别相对于预先指定的基线组的组特异性显著性。当选择的样本量容纳所选基线值和感兴趣的分位数的极值时，我们的模拟产生理想的功率和类型I误差结果。

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Simplified k-sample nonparametric hypothesis tests for quantile residual event times

We present an approachable multi-sample hypothesis testing procedure for examining potential differences in quantile residual event times across an arbitrary number of groups. Moreover, an ancillary testing procedure that allows for the identification of group-specific significance with respect to a prespecified baseline group is also provided. Our simulations yield desirable power and type I error results when the chosen sample sizes accommodate the extremity of selected baseline values and quantiles of interest.

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来源期刊

Statistics & Probability Letters 数学-统计学与概率论

CiteScore

1.60

自引率

0.00%

发文量

173

审稿时长

6 months

期刊介绍： Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature. Statistics & Probability Letters is a refereed journal. Articles will be limited to six journal pages (13 double-space typed pages) including references and figures. Apart from the six-page limitation, originality, quality and clarity will be the criteria for choosing the material to be published in Statistics & Probability Letters. Every attempt will be made to provide the first review of a submitted manuscript within three months of submission. The proliferation of literature and long publication delays have made it difficult for researchers and practitioners to keep up with new developments outside of, or even within, their specialization. The aim of Statistics & Probability Letters is to help to alleviate this problem. Concise communications (letters) allow readers to quickly and easily digest large amounts of material and to stay up-to-date with developments in all areas of statistics and probability. The mainstream of Letters will focus on new statistical methods, theoretical results, and innovative applications of statistics and probability to other scientific disciplines. Key results and central ideas must be presented in a clear and concise manner. These results may be part of a larger study that the author will submit at a later time as a full length paper to SPL or to another journal. Theory and methodology may be published with proofs omitted, or only sketched, but only if sufficient support material is provided so that the findings can be verified. Empirical and computational results that are of significant value will be published.