Random Sequences

Valérie Girardin and Nikolaos Limnios
Additional contact information
Valérie Girardin: Université de Caen Normandie, Laboratoire de Mathématiques Nicolas Oresme
Nikolaos Limnios: Université de Technologie de Compiègne, Laboratoire de Mathématiques Appliquées de Compiègne

Chapter 4 in Applied Probability, 2022, pp 149-200 from Springer

Abstract: Abstract This chapter investigates the foundations of stochastic topology. The main types of convergence of random sequences are defined and compared: almost sure, in mean, quadratic mean, probability, distribution. Different large numbers laws and central limit theorems—doubtless the most remarkable results of probability theory—are presented. Some hints on stochastic simulation are also given.

Date: 2022
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:978-3-030-97963-8_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030979638

DOI: 10.1007/978-3-030-97963-8_4

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 ().