COMPSTAT

1. Front Matter

   Pages I-XII

   PDF

2. Keynote papers

   1. Front Matter

      Pages 1-1

      PDF

   2. The broad role of multiple imputation in statistical science

      • Donald B. Rubin

      Pages 3-14

   3. Official Statistics: an estimation strategy for the IT-era

      • P. Kooiman, A. H. Kroese, R. H. Renssen

      Pages 15-26

3. Invited papers

   1. Front Matter

      Pages 27-27

      PDF

   2. Bayesian model selection methods for nonnested models

      • Francesco Bertolino, Elias Moreno, Walter Racugno

      Pages 29-40

   3. Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data

      • Noel Cressie, Andrew S. Mugglin

      Pages 41-52

   4. GBMs: GLMs with bilinear terms

      • Antoine de Falguerolles

      Pages 53-64

   5. Generalized calibration and application to weighting for non-response

      • Jean-Claude Deville

      Pages 65-76

   6. Methodological issues in data mining

      • David J. Hand

      Pages 77-85

   7. Practical data mining in a large utility company

      • Georges Hébrail

      Pages 87-95

   8. HGLMs for analysis of correlated non-normal data

      • Youngjo Lee, John A. Nelder

      Pages 97-107

   9. Bootstrapping impulse responses in VAR analyses

      • Helmut Lütkepohl

      Pages 109-119

   10. An application of TRAMO-SEATS; model selection and out-of-sample performance. The Swiss CPI series

       • Agustín Maravall, Fernando J. Sánchez

       Pages 121-130

   11. Spreadsheets as tools for statistical computing and statistics education

       • Erich Neuwirth

       Pages 131-138

   12. An algorithm for deepest multiple regression

       • Peter J. Rousseeuw, Stefan Van Aelst

       Pages 139-150

   13. Non-proportional hazards models in survival analysis

       • Hans C. van Houwelingen, Paul H. C. Eilers

       Pages 151-160

   14. A spatio-temporal analysis of a field trial

       • Arūnas Verbyla, Michelle Lorimer, Robert Stevens

       Pages 161-172

4. Contributed papers

   1. Front Matter

      Pages 173-173

      PDF

   2. Principal component logistic regression

      • A. M. Aguilera, M. Escabias

      Pages 175-180

This Volume contains the Keynote, Invited and Full Contributed papers presented at COMPSTAT 2000. A companion volume (Jansen & Bethlehem, 2000) contains papers describing the Short Communications and Posters. COMPST AT is a one­ week conference held every two years under the auspices of the International Association of Statistical Computing, a section of the International Statistical Institute. COMPST AT 2000 is jointly organised by the Department of Methodology and Statistics of the Faculty of Social Sciences of Utrecht University, and Statistics Netherlands. It is taking place from 21-25 August 2000 at Utrecht University. Previous COMPSTATs (from 1974-1998) were in Vienna, Berlin, Leiden, Edinburgh, Toulouse, Prague, Rome, Copenhagen, Dubrovnik, Neuchatel, Vienna, Barcelona and Bristol. The conference is the main European forum for developments at the interface between statistics and computing. This was encapsulated as follows on the COMPST A T 2000 homepage http://neon. vb.cbs.nlIrsml compstat. Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTATs, the scientific programme will range over all aspects of this link, from the development and implementation of new statistical ideas through to user experiences and software evaluation. The programme should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, research institutes or as software developers. At COMPST AT 2000 there is a special interest in the interplay with official statistics. This is evident from papers in the area of computerised data collection, survey methodology, treatment of missing data, and the like.

• Bootstrapping
• Computational Statistics
• Computergesteuerte Statistik
• Factor analysis
• Internet
• Likelihood
• Median
• Monte Carlo method
• Statistical Computing
• Statistics
• Statistik
• Time series
• modeling
• programming
• spreadsheet

• Department of Statistical Methods, Statistics Netherlands, Voorburg, The Netherlands

  Jelke G. Bethlehem

• Faculty of Social Sciences, Department of Methodology and Statistics, Utrecht University, Utrecht, The Netherlands

  Peter G. M. Heijden

Policies and ethics