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

Küçük Resim Yok

Tarih

2022

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

Künye