Distribution-free (nonparametric) control charts provide a robust alternative to a data analyst when there is lack of … continuous distribution. The nonparametric EWMA chart combines the advantages of a nonparametric control chart (known and robust … knowledge about the underlying distribution. A two-sided nonparametric Phase II exponentially weighted moving average (EWMA …

. Unfortunately, as I show here, all existing null model tests are biased or non-robust. Although both qualities are problematic, the …. To fix the problem, I derive robust tests. Letting i and j denote the ith and jth colonists to arrive at a site …

squares methods. We use Huber's loss function in developing robust methods for time-course multivariate responses. We use … parts. The first part develops a robust score test for linear models by a modification of the well-known Rao's score test … dissertation, we propose a robust clustering method based on the EM algorithm applied to a modified multivariate normal density …

dominance as a way to derive a set of non-dominated portfolios and robust individual alternatives. Our approach departs from the …

An influential paper by Kleibergen (2005) introduces Lagrange multiplier (LM) and conditional likelihood ratio … correct asymptotic size when p > 2 with one weighting method, combined with the Robin and Smith (2000) rank statistic. The …

This paper introduces two new identification- and singularity-robust conditional quasi-likelihood ratio (SR-CQLR) tests … and a new identification- and singularity-robust Anderson and Rubin (1949) (SR-AR) test for linear and nonlinear moment …

This paper addresses an efficient mixed integer linear programming model for a robust and reliable medical service (MS … investment budget constraint into account. The proposed model is formulated based on an efficient robust optimization approach to … protect the network against uncertainty. Furthermore, a mixed integer linear programming model with augmented PR-robust …