A nonparametric partially sequential test for early detection of newly emerging phenomena
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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] 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.
Açıklama
Anahtar Kelimeler
Partially sequential tests, Sequential ranks, Emerging phenomenon, Exponential growth, Early detection, Statistical power, 2-Sample Test, Trend, Illustration, Location
Kaynak
Journal Of Statistical Computation And Simulation
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
92
Sayı
7