Andrei Andreevich Markov

E. Seneta

A chapter in Statisticians of the Centuries, 2001, pp 243-247 from Springer

Abstract: Abstract Markov, with Liapunov a disciple of Chebyshev, gave rigorous proofs of the Central Limit Theorem. Through his work on Markov chains, the concept of Markovian dependence pervades modern theory and application of random processes. His textbook influenced the development of probability and statistics internationally.

Keywords: Central Limit Theorem; International Statistical Review; Markovian Dependence; Mathematics Syllabus; Pairwise Independence (search for similar items in EconPapers)
Date: 2001
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:978-1-4613-0179-0_52

Ordering information: This item can be ordered from
http://www.springer.com/9781461301790

DOI: 10.1007/978-1-4613-0179-0_52

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 ().