发表刊物：Signal Processing

关键字：Bivariate normal Correlation theory Kendall’s tau Pearson’s product moment correlation coefficient Spearman’s rho

摘要：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.

合写作者：Y.S. Hung,侯云鹤

第一作者：徐维超

论文类型：期刊论文

卷号：93

页面范围：261-276

是否译文：否

发表时间：2012-08-14

收录刊物：SCI