Abstract
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 impecision 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 aeras of application.
| Original language | English |
|---|---|
| Title of host publication | Imprecision in Statistical Theory and Practice |
| Number of pages | 313 |
| Place of Publication | Greensboro, NC, USA |
| Publisher | Grace Scientific Publishing |
| Publication date | 2009 |
| Pages | 29-42 |
| ISBN (Print) | 978-0-9823998-0-4 |
| Publication status | Published - 2009 |
Keywords
- Inference
- Decision making
- Elicition
- robustness
- lower and upper probabilities
Cite this
Kozine, I., & Krymsky, V. (2009). Bounded Densities and Their Derivatives: Extension to Other Domains. In Imprecision in Statistical Theory and Practice (pp. 29-42). Grace Scientific Publishing.