Brownian Motion
Sidney I. Resnick
Additional contact information
Sidney I. Resnick: Cornell University, School of Operations Research and Industrial Engineering
Chapter Chapter 6 in Adventures in Stochastic Processes, 2002, pp 482-557 from Springer
Abstract:
Abstract THE BROWNIAN motion process, sometimes called the Wiener pro-cess, was originally posed by the English botanist Robert Brown as a model for the motion of a small particle immersed in a liquid and thus subject to molecular collisions. Brownian motion assumes a central role in the modern theory of stochastic processes and in the modern large sample theory of statistics. It is basic to descriptions of financial markets, the construction of a large class of Markov processes called diffusions, approximations to many queueing models and the calculation of asymptotic distributions in large sample statistical estimation problems.
Keywords: Brownian Motion; Invariance Principle; Iterate Logarithm; Standard Brownian Motion; Independent Increment (search for similar items in EconPapers)
Date: 2002
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:978-1-4612-0387-2_6
Ordering information: This item can be ordered from
http://www.springer.com/9781461203872
DOI: 10.1007/978-1-4612-0387-2_6
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 ().