A nonparametric partially sequential test for early detection of newly emerging phenomena
Makaleler > Tam Makale · 2021
Yazarlar: Halil TANIL, Agah KOZAN
Journal of Statistical Computation and Simulation, SCI İndekslerine Giren Dergi, Uluslararası, Wos, 2021, cilt 92, ss 1426-1437
DOI: 10.1080/00949655.2021.1998499
Özet
An event encountered for the first time can become a common phenomenon in a population through transmission over time. This study focuses on nonparametric partially sequential test statistics in order to early detect such events. For this purpose, firstly, the partially sequential test statistic given in Mukherjee [1 Mukherjee A. Nonparametric phase-II monitoring for detecting monotone trend based on inverse sampling. Stat Methods Appt. 2013;22:131–153.[Crossref], [Web of Science ®] , [Google Scholar]] is considered. Then, with a modification of this statistic, a new nonparametric partially sequential test statistic that works at almost the desired α level of significance is revealed. Also, based on Monte-Carlo simulations, the proposed test statistic is shown to be more powerful than Mukherjee’s statistic. Lastly, two illustrative numerical examples are also given.