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A nonparametric partially sequential test for early detection of newly emerging phenomena

Authors :
Agah Kozan
Halil Tanil
Source :
Journal of Statistical Computation and Simulation. 92:1426-1437
Publication Year :
2021
Publisher :
Informa UK Limited, 2021.

Abstract

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] is considered. Then, with a modification of this statistic, a new nonparametric partially sequential test statistic that works at almost the desired alpha 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.

Details

ISSN :
15635163 and 00949655
Volume :
92
Database :
OpenAIRE
Journal :
Journal of Statistical Computation and Simulation
Accession number :
edsair.doi.dedup.....a4263136528ca8dd61e2f08947c9b59b
Full Text :
https://doi.org/10.1080/00949655.2021.1998499