TITLE:
Tests for Two-Sample Location Problem Based on Subsample Quantiles
AUTHORS:
Parameshwar V. Pandit, Savitha Kumari, S. B. Javali
KEYWORDS:
U-Statistic; Class of Tests; Two-Sample Location Problem; Asymptotic Normality; Pitman ARE; Subsample Quantiles
JOURNAL NAME:
Open Journal of Statistics,
Vol.4 No.1,
February
17,
2014
ABSTRACT:
This paper presents a new
class of test procedures for two-sample
location problem based on subsample quantiles. The class includes Mann-Whitney test as a special case. The
asymptotic normality of the class of tests proposed is established. The asymptotic relative performance of the
proposed class of test with respect to the optimal member of Xie and Priebe (2000) is studied in terms of Pitman
efficiency for various underlying distributions.