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Statistical Data Analysis Based on the L1-Norm and Related Methods

  • Yadolah Dodge

Part of the Statistics for Industry and Technology book series (SIT)

Table of contents

  1. Front Matter
    Pages i-xii
  2. All About Quantiles

    1. Front Matter
      Pages 1-1
    2. Philip Kokic, Jens Breckling, Oliver Lübke
      Pages 15-24
    3. Mo-Yin S. Tam, Gilbert W. Bassett Jr., Uday Sukhatme
      Pages 67-76
  3. Financial Statistics and Time Series

    1. Front Matter
      Pages 95-95
    2. Gilbert W. Bassett Jr., Roger Koenker, Gregory Kordas
      Pages 97-108
    3. Dirk Tasche
      Pages 109-123
  4. Estimation, Testing and Characterization

    1. Front Matter
      Pages 169-169
    2. Hans Nyquist
      Pages 171-181
    3. Jana Jurečková
      Pages 183-189
    4. Marcela Svarc, Víctor J. Yohai, Ruben H. Zamar
      Pages 191-200
    5. Stefan Van Aelst, Gert Willems
      Pages 201-212
    6. Marie Hušková, Jan Picek
      Pages 213-227
    7. Lajos Horváth, Agnieszka Jach, Piotr Kokoszka
      Pages 229-240
    8. Richard William Farebrother
      Pages 253-256
  5. Deep in the Data

    1. Front Matter
      Pages 283-283
    2. Xin Tian, Yehuda Vardi, Cun-Hui Zhang
      Pages 285-299
    3. Mario Romanazzi
      Pages 301-312
  6. Classification

    1. Front Matter
      Pages 323-323
    2. Jean-Pierre Barthélemy, François Brucker
      Pages 325-339
    3. Rebecka Jörnsten, Yehuda Vardi, Cun-Hui Zhang
      Pages 353-366
    4. Mohammed Benayade, Bernard Fichet
      Pages 367-377
    5. Regina Y. Liu, David Madigan, Susana Eyheramendy
      Pages 379-392
  7. Density Estimation and Image Processing

    1. Front Matter
      Pages 393-393
    2. Sylvain Sardy, Cédric Bilat, Paul Tseng, Valérie Chavez-Demoulin
      Pages 395-403
    3. Roger Koenker, Ivan Mizera
      Pages 405-414
    4. Rebecka Jörnsten, Yehuda Vardi, Cun-Hui Zhang
      Pages 415-425
  8. Regression Models in Environmental Studies

    1. Front Matter
      Pages 427-427
    2. Silvia L. P. Ferrari, Jacqueline S. E. David, Paulo A. André, Luiz A. A. Pereira
      Pages 429-438
    3. Julio M. Singer, Carmen D. S. André, Liliam P. Lima, Gleice M. S. Conceição
      Pages 439-450
  9. Back Matter
    Pages 451-456

About these proceedings

Introduction

This volume contains a selection of invited papers, presented to the fourth In­ Statistical Analysis Based on the L1-Norm and Related ternational Conference on Methods, held in Neuchatel, Switzerland, from August 4-9, 2002. Organized jointly by the University of Illinois at Chicago (Gib Bassett), the Rutgers University (Regina Liu and Yehuda Vardi) and the University of Neuchatel (Yadolah Dodge), the conference brought together experts whose research deals with theory and ap­ plications involving the L1-Norm. The conference included invited and contributed talks as well as a tutorial on Quantile Regression. This volume includes 36 refereed invited papers under seven headings. Part one deals with Quantiles in all their forms and shapes. It includes papers on quantile functions in non-parametric multivariate analysis, and empirical applications of quantile regression. Much of the development in this direction follows from the fundamental paper by Koenker and Bassett in 1978. Financial and Time Series A nalysis follows the section on quantiles. Part three concerns Estimation, Testing and Characterization. Part four, Deep in the Data, deals with issues related to data depth. Part five addresses Classification questions. The problem of Density Estimation and Image Processing is discussed in Part six, and finally Part seven presents two environmental applications. The contributions represent clear evidence of important research involving theo­ retical issues and applications associated with the L1-Norm. It is my hope that the articles contained in this volume and its predecessors, published in 1987, 1992, and 1997, will stimulate interest among researchers.

Keywords

calculus data analysis probability probability theory statistical theory

Editors and affiliations

  • Yadolah Dodge
    • 1
  1. 1.Statistics GroupUniversity of NeuchâtelNeuchâtelSwitzerland

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