TY - JOUR
T1 - Two k-Sample Slippage Tests
AU - Conover, W. J.
N1 - Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 1968/6
Y1 - 1968/6
N2 - Two nonparametric tests are presented for analyzing data from a one-way layout. Their principal characteristic is ease in computation. One test is intended for k samples of equal size n, and the other is for k samples of possibly unequal sample sizes. Both tests may be regarded as generalizations of Mosteller's slippage test. Multiple decision aspects of both tests are discussed. Monte Carlo studies show the first test to be more powerful than the F test in some situations, such as when the populations are normal and the larger means are accompanied by larger variances. Tables of critical values are presented. Copyright Taylor & Francis.
AB - Two nonparametric tests are presented for analyzing data from a one-way layout. Their principal characteristic is ease in computation. One test is intended for k samples of equal size n, and the other is for k samples of possibly unequal sample sizes. Both tests may be regarded as generalizations of Mosteller's slippage test. Multiple decision aspects of both tests are discussed. Monte Carlo studies show the first test to be more powerful than the F test in some situations, such as when the populations are normal and the larger means are accompanied by larger variances. Tables of critical values are presented. Copyright Taylor & Francis.
UR - http://www.scopus.com/inward/record.url?scp=33646991982&partnerID=8YFLogxK
U2 - 10.1080/01621459.1968.11009280
DO - 10.1080/01621459.1968.11009280
M3 - Article
AN - SCOPUS:33646991982
VL - 63
SP - 614
EP - 626
JO - Journal of the American Statistical Association
JF - Journal of the American Statistical Association
SN - 0162-1459
IS - 322
ER -