Sums of Independent Random Variables
Yuan Shih Chow and
Henry Teicher
Additional contact information
Yuan Shih Chow: Columbia University, Department of Mathematics and Statistics
Henry Teicher: Rutgers University, Department of Statistics
Chapter 5 in Probability Theory, 1978, pp 110-155 from Springer
Abstract:
Abstract Of paramount concern in probability theory is the behavior of sums {S n, n≥ 1} of independent random variables {X i , i ≥ 1}. The case where the {X i } are i.i.d. is of especial interest and frequently lends itself to more incisive results. The sequence of sums {S n, n ≥ 1} of i.i.d. r.v.s {X n }is alluded to as a random walk; in the particular case when the component r.v.s {X n } are nonnegative, the random walk is referred to as a renewal process.
Keywords: Random Walk; Independent Random Variable; Stopping Time; Equivalent Sequence; Stochastic Sequence (search for similar items in EconPapers)
Date: 1978
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:978-1-4684-0062-5_5
Ordering information: This item can be ordered from
http://www.springer.com/9781468400625
DOI: 10.1007/978-1-4684-0062-5_5
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 ().