Computational Statistics

Volume 2: Proceedings of the 10th Symposium on Computational Statistics, COMPSTAT, Neuchâtel, Switzerland, August 1992

  • Yadolah Dodge
  • Joe Whittaker

Table of contents

  1. Front Matter
    Pages I-X
  2. Prologue

    1. Front Matter
      Pages 1-1
    2. Peter J. Huber
      Pages 3-13
  3. Programming Environments

    1. Front Matter
      Pages 15-15
    2. Axel Benner
      Pages 39-42
    3. Atsuhiro Hayashi, Tomoyuki Tarumi
      Pages 43-48
  4. Computational Inference

  5. Package Developments

    1. Front Matter
      Pages 109-109
    2. MaryAnn Hill, Laszlo Engelman
      Pages 111-126
    3. K. Christof
      Pages 127-132
    4. G. C. FitzGerald, T. A. Hurley
      Pages 133-148
    5. Thomas M. Huber
      Pages 163-168
    6. Stephen P. Kaluzny, R. Douglas Martin
      Pages 169-175
    7. G. W. Morgan
      Pages 177-183
    8. Alex Sanchez, Jordi Ocaña, Carmen Ruíz de Villa
      Pages 195-199
  6. Experimental Design

  7. Image Processing and Neural Networks

    1. Front Matter
      Pages 269-269
    2. A. J. Baddeley, M. N. M. van Lieshout
      Pages 271-286
    3. Karen Chan, Jim Kay
      Pages 287-291
    4. A. T. Othman, K. R. Ku-Mahamud, M. H. Selamat
      Pages 317-322
  8. Meta Data

About these proceedings


The papers assembled in this book were presented at the biannual symposium of Inter­ national Association for Statistical Computing in Neuchcitel, Switzerland, in August of 1992. This congress marked the tenth such meeting from its inception in 1974 at Vienna and maintained the tradition of providing a forum for the open discussion of progress made in computer oriented statistics and the dissemination of new ideas throughout the statistical community. It was gratifying to see how well the groups of theoretical statisti­ cians, software developers and applied research workers were represented, whose mixing is an event made uniquely possible by this symposium. While maintaining traditions certain new features have been introduced at this con­ ference: there were a larger number of invited speakers; there was more commercial sponsorship and exhibition space; and a larger body of proceedings have been published. The structure of the proceedings follows a standard format: the papers have been grouped together according to a rough subject matter classification, and within topic follow an approximate aphabetical order. The papers are published in two volumes ac­ cording to the emphasis of the topics: volume I gives a slight leaning towards statistics and modelling, while volume II is focussed more on computation; but this is certainly only a crude distinction and the volumes have to be thought of as the result of a single en terprise.


Rang Statistical Computing modeling neural networks statistics

Editors and affiliations

  • Yadolah Dodge
    • 1
  • Joe Whittaker
    • 2
  1. 1.Groupe de StatistiqueUniversity of NeuchâtelNeuchâtelSwitzerland
  2. 2.Lancaster UniversityGB-LancasterGreat Britain

Bibliographic information