A robust Hotelling test

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Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review (2020, methodology): “1 Hotelling’s T 2 The parametric approach to the comparison of multivariate groups is the Hotelling’s T 2 statistics [77].”
A Multivariate Robust Control Chart for Individual Observations (2009, methodology): “These fits can be used to estimate appropriate quantiles of T 2RMCD(f) for small Phase I sample sizes (n ≤ 200).”
An Object-Oriented Framework for Robust Multivariate Analysis (2009, unknown): “Further applications implemented in the framework are linear and quadratic discriminant analysis (see Todorov and Pires 2007, for a review), multivariate tests (Willems et al. 2002; Todorov and Filzmoser 2010) and outlier detection tools.”
A comparison of robust alternatives to Hotelling’s T 2 control chart (2009, methodology): “The RMCD estimators are commonly used in the literature 32 because a reweighting step considerably increases the finite-sample efficiency 20 .”
High-Breakdown Robust Multivariate Methods (2008, methodology): “In the framework of multivariate location and scatter, an MCD-based alternative to the Hotelling test was provided by Willems et al. (2002) and a technique based on robust distances was applied to the control of electrical power systems in Mili et al. (1996).”