A Kolmogorov inequality for the sum of independent Bernoulli random variables with unequal means

Danny W. Turner, Dean M. Young and John W. Seaman

Statistics & Probability Letters, 1995, vol. 23, issue 3, 243-245

Abstract: This note presents a Kolmogorov inequality for the partial sums of a sequence of independent Bernoulli random variables with unequal means.

Keywords: Maximal; inequalities; Large; deviation; probabilities (search for similar items in EconPapers)
Date: 1995
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(94)00120-W
Full text for ScienceDirect subscribers only

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:eee:stapro:v:23:y:1995:i:3:p:243-245

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().