Two New Elementary Derivations of Geometric Expectation

Liang Hong

The American Statistician, 2014, vol. 68, issue 3, 188-190

Abstract: This article presents two new elementary derivations of the expectation of the geometric distribution. I also review six existing approaches. I hope that this article will benefit instructors and students in an introductory probability course.

Date: 2014
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00031305.2014.915234 (text/html)
Access to full text is restricted to subscribers.

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:taf:amstat:v:68:y:2014:i:3:p:188-190

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTAS20

DOI: 10.1080/00031305.2014.915234

Access Statistics for this article

The American Statistician is currently edited by Eric Sampson

More articles in The American Statistician from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().