Images and Products of Error Structures

Nicolas Bouleau ()
Additional contact information
Nicolas Bouleau: École des Ponts ParisTech

Chapter Chapter 7 in The Mathematics of Errors, 2021, pp 91-107 from Springer

Abstract: Abstract In Chap. 0 , we gave an application with a Markov chainMarkov chain represented by $$ X^x_{n +1} =\Psi ( X^x_n, U_{n +1} ) ,\quad X^x_0 =x, $$ X n + 1 x = Ψ ( X n x , U n + 1 ) , X 0 x = x , where $$U_1 ,\ldots ,U_n ,\ldots $$ U 1 , … , U n , … was a sequence of i.i.d. random variables uniformly distributed on [0, 1] representing the Monte Carlo drawings. If the Un are erroneous this requires two opérations which are studied in this chapter: defining the product of error structures and the image of an error structure under a mapping.

Date: 2021
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:sprchp:978-3-030-88575-5_7

Ordering information: This item can be ordered from
http://www.springer.com/9783030885755

DOI: 10.1007/978-3-030-88575-5_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().