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On non-additive probability measures

In: Mathematica Slovaca, vol. 67, no. 6
Beloslav Riečan - Karol Samuelčik

Details:

Year, pages: 2017, 1571 - 1576
Keywords:
subadditive probability measure, central limit theorem
About article:
The additivity of considered measures or integrals resp. can be omitted in some problems of mathematical analysis and its applications. In the paper it is shown that similar situations are possible also in the probability theory. As an example is proved a generalized version of the central limit theorem about the convergence of arithmetical means of independent random variables to the Gauss distribution.
How to cite:
ISO 690:
Riečan, B., Samuelčik, K. 2017. On non-additive probability measures. In Mathematica Slovaca, vol. 67, no.6, pp. 1571-1576. 0139-9918. DOI: https://doi.org/10.1515/ms-2017-0071

APA:
Riečan, B., Samuelčik, K. (2017). On non-additive probability measures. Mathematica Slovaca, 67(6), 1571-1576. 0139-9918. DOI: https://doi.org/10.1515/ms-2017-0071
About edition:
Published: 27. 11. 2017