Gender:Male
Date of Birth:1970-04-26
Alma Mater:The University of Hong Kong
Education Level:PhD
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Journal:Signal Processing
Key Words:Bivariate normal Correlation theory Kendall’s tau Pearson’s product moment correlation coefficient Spearman’s rho
Abstract:This paper analyzes the performances of Spearman’s rho (SR) and Kendall’s tau (KT) with respect to samples drawn from bivariate normal and contaminated normal populations. Theoretical and simulation results suggest that, contrary to the opinion of equivalence between SR and KT in some literature, the behaviors of SR and KT are strikingly different in the aspects of bias effect, variance, mean square error (MSE), and asymptotic relative efficiency (ARE). The new findings revealed in this work provide not only deeper insights into the two most widely used rank-based correlation coefficients, but also a guidance for choosing which one to use under the circumstances where Pearson’s product moment correlation coefficient (PPMCC) fails to apply.
Co-author:Y.S. Hung,侯云鹤
First Author:徐维超
Indexed by:Journal paper
Volume:93
Page Number:261-276
Translation or Not:no
Date of Publication:2012-08-14
Included Journals:SCI
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