Robust Statistics Data Analysis and Computer Intensive Methods

Bootstrap Variable-Selection and Confidence Sets. - Robust Estimation in the Logistic Regression Model. - The m out of n Bootstrap and Goodness of Fit Tests with Double Censored Data. - What Criterion for a Power Algorithm?. - Nonparametric Estimation of Global Functionals of Conditional Quantiles. - High Breakdown Point Estimators in Logistic Regression. - The Guinea Pig of Multiple Regression. - When is a p-Value a Good Measure of Evidence?. - Geometric Properties of Principal Curves in the Plane. - On Robust Estimation of Variograms in Geostatistics. - Advances in Nonparametric Function Estimation. - On the Philosophical Foundations of Statistics: Bridges to Huber's work and recent results. - Data Based Prototyping. - Robust Regression with a Categorical Covariable. - Robustness in Discriminant Analysis. - M-Estimation and Spatial Quantites. - Robust Statistical Methods in Interlab oratory Analytical Studies. - Estimating Distributions with a Fixed Number of Modes. - Implementing M -Estimators of the Gamma distribution. - Constrained M -Estimation for Regression. - Inference for the Direction of the Larger of Two Eigenvectors: The Case of Circular Elongation. - High Breakdown Point Designs. - On Bayesian Robustness: An Asymptotic Approach. - Computational Aspects of Trimmed Single-Link Clustering. - Interval Probability on Finite Sample Spaces. - On Consistency of Recursive Multivariate M-Estimators in Linear Models. - List of Participants. Language: English