Proceedings in Computational Statistics, 9th Symposium held at Dubrovnik, Yugoslavia, 1990

  • Konstantin Momirović
  • Vesna Mildner

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Classification

  3. Algorithms and Statistical Software

    1. Front Matter
      Pages 27-27
    2. L. A. Clark, D. Pregibon
      Pages 35-40
    3. M. Harman, S. Danicic, R. Gilchrist
      Pages 41-46
  4. Expert System in Statistics

  5. Multivariate Data Analysis and Model Building

  6. Optimization Techniques and Nonlinear Models

    1. Front Matter
      Pages 169-169
    2. T. S. Arthanari
      Pages 171-176
  7. Computing for Robust Statistics

    1. Front Matter
      Pages 183-183
    2. P. J. Rousseeuw, B. C. van Zomeren
      Pages 185-192
    3. V. K. Todorov, N. M. Neykov, P. N. Neytchev
      Pages 193-198
    4. Y. Tanaka, E. Castaño-Tostado, Y. Odaka
      Pages 205-210
    5. H. Ekblom, K. Madsen
      Pages 217-222
  8. Statistics and Database Management

    1. Front Matter
      Pages 223-223
    2. T. Catarci, G. D’Angiolini, M. Lenzerini
      Pages 237-242
  9. Time Dependent Models

    1. Front Matter
      Pages 243-243
    2. I. G. Žhurbenko
      Pages 245-250
    3. O. Lessi, L. Olivi, P. Parisi
      Pages 251-256
    4. T. Atilgan
      Pages 269-274

About these proceedings


Although no-one is, probably, too enthused about the idea, it is a fact that the development of most empirical sciences to a great extent depends on the development of data analysis methods and techniques, which, due to the necessity of application of computers for that purpose, actually means that it practically depends on the advancement and orientation of computer statistics. Every other year the International Association for Statistical Computing sponsors the organizition of meetings of individual s professiona77y involved in computational statistics. Since these meetings attract professionals from allover the world, they are a good sample for the estimation of trends in this area which some believe is a statistics proper while others claim it is computer science. It seems, though, that an increasing number of colleagues treat it as an independent scientific or at least technical discipline. This volume contains six invited papers, 41 contributed papers and, finally, two papers which are, formally, software descriptions, but it was agreed by the Program Committee that they should be included in a separate section entitled "Notes about new developments in statistical software", due to their special significance for current trends in computational statistics.


Estimator Factor analysis Fitting Generalized linear model Likelihood Time series Variance classification data analysis expert system knowledge-based system knowledge-based systems optimization principal component analysis statistical software

Editors and affiliations

  • Konstantin Momirović
    • 1
  • Vesna Mildner
    • 1
  1. 1.University of ZagrebZagrebYugoslavia

Bibliographic information