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Developments in Robust Statistics

International Conference on Robust Statistics 2001

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Rudolf Dutter

    1. Institute of Statistics, Vienna University of Technology, Vienna, Austria

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  2. Peter Filzmoser

    1. Institute of Statistics, Vienna University of Technology, Vienna, Austria

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  3. Ursula Gather

    1. Statistics Department, University of Dortmund, Dortmund, Germany

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  4. Peter J. Rousseeuw

    1. Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium

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  • Presents newest developments and applications of Robust Statistics
  • Authored by leading scientists, experienced researchers and practitioners
  • Includes supplementary material: sn.pub/extras

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Table of contents (36 papers)

  1. Front Matter

    Pages I-XVI
    Download chapter PDF

  2. Robust Time Series Estimation via Weighted Likelihood

    • C. Agostinelli
    Pages 1-16

  3. An Exchange Algorithm for Computing the Least Quartile Difference Estimator

    • J. Agulló
    Pages 17-31

  4. Selected Algorithms for Robust M- and L-Regression Estimators

    • J. Antoch, H. Ekblom
    Pages 32-49

  5. A Simple Test to Identify Good Solutions of Redescending M Estimating Equations for Regression

    • O. Arslan
    Pages 50-61

  6. Algorithms to Compute CM- and S-Estimates for Regression

    • O. Arslan, O. Edlund, H. Ekblom
    Pages 62-76

  7. Quantile Models and Estimators for Data Analysis

    • G. W. Bassett Jr., M. -Y. S. Tam, K. Knight
    Pages 77-87

  8. Estimation in the Generalized Poisson Model via Robust Testing

    • T. Bednarski
    Pages 88-97

  9. A Comparison of Some New Measures of Skewness

    • G. Brys, M. Hubert, A. Struyf
    Pages 98-113

  10. Robust Inference Based on Quasi-likelihoods for Generalized Linear Models and Longitudinal Data

    • E. Cantoni
    Pages 114-124

  11. Robust Tools in SAS

    • C. Chen
    Pages 125-133

  12. Robustness Issues Regarding Content-corrected Tolerance Limits

    • L. T. Fernholz
    Pages 134-147

  13. Breakdown-Point for Spatially and Temporally Correlated Observations

    • M. G. Genton
    Pages 148-159

  14. On Marginal Estimation in a Semiparametric Model for Longitudinal Data with Time-independent Covariates

    • X. He, M.-O Kim
    Pages 160-168

  15. Robust PCA for High-dimensional Data

    • M. Hubert, P. J. Rousseeuw, S. Verboven
    Pages 169-179

  16. Robustness Analysis in Forecasting of Time Series

    • Y. Kharin
    Pages 180-193

  17. Lift-zonoid and Multivariate Depths

    • G. A. Koshevoy
    Pages 194-202

  18. Asymptotic Distributions of Some Scale Estimators in Nonlinear Models

    • H. L. Koul
    Pages 203-217

  19. Robust Nonparametric Regression and Modality

    • A. Kovac
    Pages 218-227

  20. Computing a High Depth Point in the Plane

    • S. Langerman, W. Steiger
    Pages 228-234
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Keywords

About this book

Aspects of Robust Statistics are important in many areas. Based on the International Conference on Robust Statistics 2001 (ICORS 2001) in Vorau, Austria, this volume discusses future directions of the discipline, bringing together leading scientists, experienced researchers and practitioners, as well as younger researchers. The papers cover a multitude of different aspects of Robust Statistics. For instance, the fundamental problem of data summary (weights of evidence) is considered and its robustness properties are studied. Further theoretical subjects include e.g.: robust methods for skewness, time series, longitudinal data, multivariate methods, and tests. Some papers deal with computational aspects and algorithms. Finally, the aspects of application and programming tools complete the volume.

Editors and Affiliations

  • Institute of Statistics, Vienna University of Technology, Vienna, Austria

    Rudolf Dutter, Peter Filzmoser

  • Statistics Department, University of Dortmund, Dortmund, Germany

    Ursula Gather

  • Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium

    Peter J. Rousseeuw

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