Arnold, B.C., Castillo, E. and Sarabia, J.M. (2009a). Multivariate order statistics via multivariate concomitants. Journal of Multivariate Analysis, 100:946–951.
Arnold, B.C., Castillo, E. and Sarabia, J.M. (2009b). On multivariate order statistics, Application to ranked set sampling. Computational Statistics and Data Analysis, 53:4555–4569.
Bairamov, I.G. and Gebizlioglu, O.L. (1998). On the ordering of random vectors in a norm sense. Journal of Applied Statistical Science, 6:66–77.
Bairamov, I.G. (2006). Progressive type 2 censored order statistics for multivariate observations. Journal of Multivariate Analysis, 97:797–809.
Barnett, V. (1976). The ordering of multivariate data. Journal of Royal Statistical Society A, 139:318–343.
Dandurand, Y., MacPhail, L. and Kittayarak, K. (2015). Justice Indicators and Criminal Justice Reform. International Centre for Criminal Law Reform and Criminal Justice Policy, Vancouver, British Columbia, Canada.
Liu, R.Y. and Singh, K. (2006). Rank tests for multivariate scale difference based on data depth. DIMACS Series Discrete Mathematical Theory and Computer Science, 72:17–35.
Liu, R.Y. and Singh, K. (1993). A quality indexed based on data depth and multivariate rank tests. Journal of American Statistical Association, 88:252–260.
Liu, R.Y., Parelius, J.M. and Singh, K. (1999). Multivariate analysis by data depth: descriptive statistics, graphics and inference. Annals of Statistics, 27:783–858.
Pokotylo, O., Mozharovskyi, P. and Dyckerhoff, R. (2016). Depth and depth-based classification with R-package ddalpha. Preprint. arXiv:1608.04109.
Tat, S. and Faridrohani, M.R. (2021). A new type of multivariate records: depth-based records. Statistics, 55:296–320.
Tukey, J.W. (1975). Mathematics and Picturing Data. Proceedings of the International Congress on Mathematics. Canadian Mathematics Congress.
Zuo, Y. and Serfling, R. (2000). General notions of statistical depth function. The Annals of Statistics, 28:461–482.
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