1. Block diagrams and splitting criteria for classification trees

   • Paul C. Taylor
   • Bernard W. Silverman

   Papers Pages: 147 - 161

2. Single and twin-heaps as natural data structures for percentile point simulation algorithms

   • R. Hatzinger
   • W. Panny

   Papers Pages: 163 - 170

3. Density based exploration of bivariate data

   • Adrian Bowman
   • Peter Foster

   Papers Pages: 171 - 177

4. The future of statistical research

   EditorialNotes Pages: 179 - 179

5. Important areas for future statistical research

   • Ole E. Barndorff-Nielsen

   Papers Pages: 181 - 181

6. Greater or lesser statistics: a choice for future research

   • John M. Chambers

   Papers Pages: 182 - 184

7. On some important statistical problems

   • J. B. Copas

   Papers Pages: 185 - 187

8. Statistics in the 21st century

   • Bradley Efron

   Papers Pages: 188 - 190

9. The next ten years in statistics?

   • J. C. Gower

   Papers Pages: 191 - 193

10. The need for research into the effectiveness of international statistical systems and standards

    • Jack Hibbert

    Papers Pages: 194 - 196

11. Real data are messy

    • Pierre Legendre

    Papers Pages: 197 - 199

12. Statistics research: the next ten years

    • David S. Moore

    Papers Pages: 200 - 201

13. The most important areas of statistical research in the next ten years

    • J. A. Nelder

    Papers Pages: 202 - 203

14. The future of statistics

    • Donald B. Rubin

    Papers Pages: 204 - 204

15. Statistics research for the next ten years

    • Richard L. Smith

    Papers Pages: 205 - 208