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A strong law of large number for negatively dependent and non identical distributed random variables in the framework of sublinear expectation.
- Source :
-
Communications in Statistics: Theory & Methods . 2019, Vol. 48 Issue 20, p5058-5073. 16p. - Publication Year :
- 2019
-
Abstract
- In this article, in the framework of sublinear expectation initiated by Peng, we derive a strong law of large numbers (SLLN) for negatively dependent and non identical distributed random variables. This result includes and extends some existing results. Furthermore, we give two examples of our result for applications. [ABSTRACT FROM AUTHOR]
- Subjects :
- *RANDOM variables
*LAW of large numbers
*PROBABILITY theory
Subjects
Details
- Language :
- English
- ISSN :
- 03610926
- Volume :
- 48
- Issue :
- 20
- Database :
- Academic Search Index
- Journal :
- Communications in Statistics: Theory & Methods
- Publication Type :
- Academic Journal
- Accession number :
- 138371229
- Full Text :
- https://doi.org/10.1080/03610926.2018.1508708