SAMPLE SIZES AND THE CENTRAL-LIMIT-THEOREM - THE POISSON-DISTRIBUTIONAS AN ILLUSTRATION

Authors
Citation
It. Jolliffe, SAMPLE SIZES AND THE CENTRAL-LIMIT-THEOREM - THE POISSON-DISTRIBUTIONAS AN ILLUSTRATION, The American statistician, 49(3), 1995, pp. 269-269
Citations number
NO
Categorie Soggetti
Statistic & Probability","Statistic & Probability
Journal title
ISSN journal
00031305
Volume
49
Issue
3
Year of publication
1995
Pages
269 - 269
Database
ISI
SICI code
0003-1305(1995)49:3<269:SSATC->2.0.ZU;2-I
Abstract
Poisson distributions are often used to show that the central limit th eorem is valid even for discrete and for highly skewed distributions. It is not so commonly appreciated that they can also be used to demons trate that, in some cases, very large sample sizes may not be enough t o invoke the theorem. Binomial distributions can be used in a similar manner.