Interval Computations as a Particular Case of a General Scheme Involving Classes of Probability Distributions View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2001

AUTHORS

Scott Ferson , Lev Ginzburg , Vladik Kreinovich , Harry Schulte

ABSTRACT

Traditionally, in science and engineering, measurement uncertainty is characterized by a probability distribution; however, often, we don’t know this probability distribution exactly, so we must consider classes of possible probability distributions. Interval computations deal with a very specific type of such classes: classes of all distributions which are located on a given interval. We show that in general, we need all closed convex classes of probability distributions. More... »

PAGES

355-365

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4757-6484-0_29

DOI

http://dx.doi.org/10.1007/978-1-4757-6484-0_29

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003730334


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