A note on second moment of a randomly stopped sum of independent variables
Victor H. de la Peña and
Z. Govindarajulu
Statistics & Probability Letters, 1992, vol. 14, issue 4, 275-281
Abstract:
Let X1, X2,... be a sequence of independent random variables having finite second moments. Let T be a stopping time defined on the X's. If is an integer-valued random variable independent of the X's but having the same distribution as T, then it is shown that 0 [less-than-or-equals, slant] ES2T [less-than-or-equals, slant] 2 ES2 where Sn = X1 + ... + Xn. Further, via examples it is shown that the above lower and upper bounds are sharp. Some different bounds when the variables are nonnegative are also given. For a sequence of independent random variables, upper and lower bounds for the expectation of a non-negative function of the randomly stopped sequence are obtained (see Result 4).
Date: 1992
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(92)90057-C
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:14:y:1992:i:4:p:275-281
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 ().