References
- Abdi, H. 2007. The Kendall rank correlation coefficient. Encyclopedia of measurement and statistics. Thousand Oaks, CA: Sage, 508–510.
- Astivia, O. L. O., and B. D. Zumbo. 2017. Population models and simulation methods: the case of the spearman rank correlation. British Journal of Mathematical and Statistical Psychology 70 (3):347–67.
- Benesty, J., J. Chen, Y. Huang, and I. Cohen. 2009. Pearson correlation coefficient. In Noise reduction in speech processing. Berlin Heidelberg: Springer, 1–4.
- Sotos, C., A. Elisa, A. Vesaliusstraat, V. Stijn, V. D. Noortgate, and O. Patrick. 2007. The non-transitivity of Pearson’s correlation coefficient: an educational perspective. In: Proc. 56th Session of the Int. Statistical Institute 2007: 22–29.
- Corder, G. W., and D. I. Foreman. 2009. Nonparametric statistics for Non-Statisticians: a step-by-Step approach. Hoboken, NJ: Wiley.
- Croux, C., and C. Dehon. 2010. Influence functions of the spearman and Kendall correlation measures. Statistical Methods & Applications 19 (4):497–515.
- Langford, E., N. Schwertman, and M. Owens. 2001. Is the property of being positively correlated transitive? The American Statistican 55 (4):322–5.
- Gonzalez-Serna, A., R. A. McGovern, P. R. Harrigan, F. Vidal, A. F. Y. Poon, S. Ferrando-Martinez, M. A. Abad, M. Genebat, M. Leal, and E. Ruiz-Mateos. 2012. Correlation of the virological response to short-term maraviroc monotherapy with standard and deep-sequencing-based genotypic tropism prediction methods. Antimicrobial Agents and Chemotherapy 56 (3):1202–7.
- Hanea, A. M., D. Kurowicka, and R. M. Cooke. 2007. The population version of Spearman’s rank correlation coefficient in the case of ordinal discrete random variables. In Proceedings of the Third Brazilian Conference on Statistical Modelling in Insurance and Finance.
- Kendall, M. G. 1938. A new measure of rank correlation. Biometrika 30 (1–2):81–93.
- Langford, E., N. Schwertman, and M. Owens. 2001. Is the property of being positively correlated transitive? The American Statistician 55 (4):322–5.
- Le, C. T. 1988. A new rank test against ordered alternatives in K-Sample problems. Biometrical Journal 30 (1):87–92.
- Mahmood, A., and S. Khan. 2010. Exploiting transitivity of correlation for fast template matching. IEEE Transactions on Image Processing: A Publication of the IEEE Signal Processing Society 19 (8):2190–200.
- McKight, P. E., and J. Najab. 2010. Kruskal‐wallis test. Corsini Encyclopedia of Psychology.
- Moore, T. L. 2006. Paradoxes in film ratings. Journal of Statistics Education 14 (1):n1.
- Popper, K., and D. W. Miller. 1987. Why probabilistic support is not inductive. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences 321 (1562):569–91.
- Quenouille, M. H. 1949. Approximate tests of correlation in time-series. Journal of the Royal Statistical Society. Series B (Methodological) 11 (1):68–84.
- Shogenji, T. 2003. A condition for transitivity in probabilistic support. British Journal for the Philosophy of Science 54 (4):613–6.
- Tsay, R. S. 2005. Analysis of financial time series. (Vol. 543). Hoboken, NJ: John Wiley & Sons.
- Yilmaz, E., J. Aslam, and S. Robertson. 2008. A new Rank Correlation coefficient for information retrieval. In: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval.