Bounded Densities and Their Derivatives: Extension to Other Domains

Igor Kozine, Victor Krymsky

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    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 languageEnglish
    Title of host publicationImprecision in Statistical Theory and Practice
    Number of pages313
    Place of PublicationGreensboro, NC, USA
    PublisherGrace Scientific Publishing
    Publication date2009
    Pages29-42
    ISBN (Print)978-0-9823998-0-4
    Publication statusPublished - 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.