Document Type
Article
Language
eng
Format of Original
24 p.
Publication Date
9-2013
Publisher
Taylor & Francis
Source Publication
Communications in Statistics - Theory and Methods
Source ISSN
0361-0926
Original Item ID
doi: 10.1080/03610926.2011.620214
Abstract
Limit theorems as well as other well-known results in probability and statistics are often based on the distribution of the sums of independent random variables. The concept of sub-independence, which is much weaker than that of independence, is shown to be sufficient to yield the conclusions of these theorems and results. It also provides a measure of dissociation between two random variables which is much stronger than uncorrelatedness.
Recommended Citation
Hamedani, Gholamhossein, "Sub-Independence: An Expository Perspective" (2013). Mathematics, Statistics and Computer Science Faculty Research and Publications. 165.
https://epublications.marquette.edu/mscs_fac/165
ADA Accessible Version
Comments
Accepted version. Communications in Statistics - Theory and Methods, Vol. 42, No. 20 (September 2013): 3615-3638. DOI. © 2013 Taylor & Francis. Used with permission.