TY - JOUR
T1 - Application of RSS design with rank-sum precedence tests for early decision on equality of two distributions
AU - Balakrishnan, N.
AU - Li, Tao
AU - Zhang, Jiawei
N1 - Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - In this article, we utilize Wilcoxon's rank-sum statistic into the precedence test based on ranked set sample (RSS) and propose three different statistics for testing the equality of two distributions. The exact null distributions of the proposed test statistics are derived, critical values are tabulated for set size up to 8, and number of RSS cycles up to 9. The exact power functions of the proposed test statistics under the Lehmann alternative are derived. Then, the power values of these tests and some of their competitors are compared exactly under the Lehmann alternative and also through Monte Carlo simulations under a location-shift alternative. Finally, a real data is conducted to illustrate the proposed test statistics.
AB - In this article, we utilize Wilcoxon's rank-sum statistic into the precedence test based on ranked set sample (RSS) and propose three different statistics for testing the equality of two distributions. The exact null distributions of the proposed test statistics are derived, critical values are tabulated for set size up to 8, and number of RSS cycles up to 9. The exact power functions of the proposed test statistics under the Lehmann alternative are derived. Then, the power values of these tests and some of their competitors are compared exactly under the Lehmann alternative and also through Monte Carlo simulations under a location-shift alternative. Finally, a real data is conducted to illustrate the proposed test statistics.
KW - Lehmann alternative
KW - Ranked set sample
KW - Wilcoxon Rank-Sum
KW - location-shift
KW - precedence test
UR - http://www.scopus.com/inward/record.url?scp=85091688900&partnerID=8YFLogxK
U2 - 10.1080/00949655.2020.1825718
DO - 10.1080/00949655.2020.1825718
M3 - Article
AN - SCOPUS:85091688900
SN - 0094-9655
VL - 91
SP - 667
EP - 693
JO - Journal of Statistical Computation and Simulation
JF - Journal of Statistical Computation and Simulation
IS - 4
ER -