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Titlebook: Robust Rank-Based and Nonparametric Methods; Michigan, USA, April Regina Y. Liu,Joseph W. McKean Conference proceedings 2016 Springer Inter

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A New Scale-Invariant Nonparametric Test for Two-Sample Bivariate Location Problem with Applicatione population set-ups. The power study shows that the proposed test statistic performs very well as compared to its competitors for almost all the changes in location and for almost all the distributions considered in this study. The computation of proposed test statistic is shown using a real-life data set.
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Robust Signed-Rank Variable Selection in Linear Regression,istency are theoretically established and evaluated via simulation studies. The results confirm the optimality of the rank-based approach for data with heavy-tailed and contaminated errors or data containing high-leverage points.
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Iterated Reweighted Rank-Based Estimates for GEE Models,s of the regression coefficients are asymptotically normal. The results of a simulation study show that the our proposed estimators are empirically efficient and valid. We illustrate our analysis on a real data set drawn from a hierarchical (three-way nested) design.
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