consistent and high breakdown point (RFCH) estimator is an outlier-resistant estimator of multivariate location and dispersion … high breakdown point (MRFCH) estimator to make it applicable to high-dimensional settings. The basic idea of our proposed …

statistics byapplying the finite sample breakdown point theory. In particular, we study limiting behaviors ofthe bootstrap …-identified cases and discuss implicationsof the breakdown point analysis to the size and power properties of bootstrap tests. We …

statistics byapplying the finite sample breakdown point theory. In particular, we study limiting behaviors ofthe bootstrap …-identified cases and discuss implicationsof the breakdown point analysis to the size and power properties of bootstrap tests. We …

function or the breakdown point. On the other hand it seems that robust statistics is not interested in quasi-linear means …

function or the breakdown point. On the other hand it seems that robust statistics is not interested in quasi-linear means …

by applying the breakdown point theory, which focuses on behaviors of the bootstrap quantiles when outliers take … distribution to a set of distributions satisfying orthogonality conditions for instruments. Our breakdown point analysis considers …

arbitrarily large values, and derive the breakdown points for those bootstrap quantiles. The breakdown point properties …