More and more often the traditional (classical) concept of probability, and the statistical methods based on it, have been criticized for being unable to cope with the multidimensional nature of uncertainty. Careful handling of imprecision is essential to draw reliable conclusions from complex data. This paper presents a short introductory discussion on the general area of imprecision in statistical theory and practice, and briefly introduces the further papers in this collection, demonstrating the importance of the adequate modelling of imprecision in different areas of application.
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.