Representation of Random Variables

Eduardo Souza de Cursi ()
Additional contact information
Eduardo Souza de Cursi: INSA Rouen Normandie

Chapter Chapter 3 in Uncertainty Quantification using R, 2023, pp 251-357 from Springer

Abstract: Abstract In this chapter, we present some methods to determine the distribution of a random variable from limited-sized samples. The methods are based on the representation of the random variable under consideration as a function of another random variable – which may be unknown and replaced by an artificial variable. The methods extend to the representation of random functions, curves, surfaces, etc. Examples and programs in R are given.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-17785-9_3

Ordering information: This item can be ordered from
http://www.springer.com/9783031177859

DOI: 10.1007/978-3-031-17785-9_3

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().