Law of Large Numbers under Choquet Expectations

Author

Chen, Jing

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-03-02

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Mathematics

Abstract EN

With a new notion of independence of random variables, we establish the nonadditive version of weak law of large numbers (LLN) for the independent and identically distributed (IID) random variables under Choquet expectations induced by 2-alternating capacities.

Moreover, we weaken the moment assumptions to the first absolute moment and characterize the approximate distributions of random variables as well.

Naturally, our theorem can be viewed as an extension of the classical LLN to the case where the probability is no longer additive.

American Psychological Association (APA)

Chen, Jing. 2014. Law of Large Numbers under Choquet Expectations. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1013425

Modern Language Association (MLA)

Chen, Jing. Law of Large Numbers under Choquet Expectations. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1013425

American Medical Association (AMA)

Chen, Jing. Law of Large Numbers under Choquet Expectations. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1013425

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1013425