TY - JOUR
T1 - A distance based two-sample test of means difference for multivariate datasets
AU - Novoselsky, Alexander
AU - Kagan, Eugene
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
PY - 2024/10
Y1 - 2024/10
N2 - In the paper we present a new test for comparison of the means of multivariate samples with unknown distributions. The test is based on the comparison of the distributions of the distances between the samples’ elements and their means using univariate two-sample Kolmogorov–Smirnov test. The activity of the suggested method is illustrated by numerical analysis of the real-world and simulated data.
AB - In the paper we present a new test for comparison of the means of multivariate samples with unknown distributions. The test is based on the comparison of the distributions of the distances between the samples’ elements and their means using univariate two-sample Kolmogorov–Smirnov test. The activity of the suggested method is illustrated by numerical analysis of the real-world and simulated data.
KW - 62H15—Hypothesis testing in multivariate analysis
KW - Distance-based statistic
KW - Multivariate means test
KW - Multivariate two sample problem
KW - Two-sample Kolmogorov–Smirnov test
UR - http://www.scopus.com/inward/record.url?scp=85195514212&partnerID=8YFLogxK
U2 - 10.1007/s00362-024-01576-8
DO - 10.1007/s00362-024-01576-8
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:85195514212
SN - 0932-5026
VL - 65
SP - 4861
EP - 4874
JO - Statistical Papers
JF - Statistical Papers
IS - 8
ER -