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- Robust Statistics: a Functional Approach
- Parametric and Non-Parametric Tests for the Comparison of Two Samples Which Both Include Paired and Unpaired Observations
- Introduction to Robust Statistics Anthony Atkinson, London School of Economics, UK Marco Riani, Univ
- The Changing History of Robustness Stephen Stigler [Keynote Address at ICORES10, Prague, 28 June 2010]
- An Overview of Robust Statistics the Goal of This Appendix Is to Explain
- Why the Resistance to Statistical Innovations? Bridging the Communication Gap
- Robust Fitting of Parametric Models Based on M-Estimation
- Robust Statistics - Filzmoser, P
- Robustness of Parametric and Nonp Arametric Tests Under Non-Normality for Two Independent Sample
- Breakdown Points for Maximum Likelihood Estimators of Location
- A Robust Statistics Approach to Minimum Variance Portfolio Optimization Liusha Yang∗, Romain Couillet†, Matthew R
- A Novel M-Estimator for Robust PCA
- Robust Statistics
- Robust Statistics
- Robust Statistics on Multivariate Statistics
- Robust Statistics
- Parametric and Non-Parametric Tests for the Comparison of Two Samples Which Both Include Paired and Unpaired Observations
- Robust Maximum Likelihood Estimation
- Robust Methods in Biostatistics
- Anomaly Detection by Robust Statistics Arxiv:1707.09752V2 [Stat
- Robust Statistics
- Lecture 14 — October 13 14.1 Robust Statistics
- Amc Technical Brief
- The Two-Sample T-Test and the Influence of Outliers
- ROBUST ESTIMATION 1 Robust Statistical Methods
- Non-Parametric Statistics
- Rethinking Robust Statistics with Modern Bayesian Methods
- A SHORT COURSE on ROBUST STATISTICS David E. Tyler Rutgers
- Robust Estimation and Applications in Robotics
- Distributionally Robust Parametric Maximum Likelihood Estimation
- Sensitivity Analysis of the Refinement to the Mann-Whitney Test (Analisis Kepekaan Penghalusan Kepada Ujian Mann-Whitney)
- Missing Values, Outliers, Robust Statistics & Non-Parametric Methods
- On Assumptions for Hypothesis Tests and Multiple Interpretations of Decision Rules∗
- Robust Statistics