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A nonparametric partially sequential test for early detection of newly emerging phenomena
- 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.
- Subjects :
- Statistics and Probability
business.industry
Partially sequential tests
Emerging phenomenon
Location
Applied Mathematics
Nonparametric statistics
Early detection
Sequential test
Pattern recognition
Exponential growth
2-Sample Test
Illustration
Modeling and Simulation
Trend
Artificial intelligence
Statistical power
Statistics, Probability and Uncertainty
business
Sequential ranks
Mathematics
Subjects
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