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A completion of counterexamples to the classical central limit theorem for triplewise independent and identically distributed random variables
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Raič, Martin
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)
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https://www.sciencedirect.com/science/article/pii/S0167715225001531
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Abstract
By the Lindeberg–Lévy central limit theorem, standardized partial sums of a sequence of mutually independent and identically distributed random variables converge in law to the standard normal distribution. It is known that mutual independence cannot be relaxed to pairwise independence, nor even to triplewise independence. Counterexamples have been constructed for most marginal distributions: a recent construction works under a condition which excludes certain probability distributions with atomic parts, in particular almost all distributions on a fixed finite set. In the present paper, we show that this condition can be lifted: for any probability distribution ▫$F$▫ on the real line, which has finite variance and is not concentrated in a single point, there exists a sequence of triplewise independent random variables with distribution ▫$F$▫, such that its standardized partial sums converge in law to a distribution which is not normal. There is also scope for extension to ▫$k$▫-tuplewise independence.
Language:
English
Keywords:
central limit theorem
,
mutual independence
,
triplewise independence
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FMF - Faculty of Mathematics and Physics
Publication status:
Published
Publication version:
Version of Record
Year:
2025
Number of pages:
5 str.
Numbering:
Vol. 226, art. 110508
PID:
20.500.12556/RUL-175454
UDC:
519.2
ISSN on article:
0167-7152
DOI:
10.1016/j.spl.2025.110508
COBISS.SI-ID:
245761283
Publication date in RUL:
28.10.2025
Views:
351
Downloads:
161
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Record is a part of a journal
Title:
Statistics & probability letters
Shortened title:
Stat. probab. lett.
Publisher:
Elsevier
ISSN:
0167-7152
COBISS.SI-ID:
1248533
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
centralni limitni izrek
,
vzajemna neodvisnost
,
neodvisnost po trojicah
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P1-0448
Name:
Stohastične metode in njihova uporaba
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