Central limit theorem and the distribution of sequences: Tatra Mt. Math. Publ. Number Theory and Cryptology '20

In: Tatra Mountains Mathematical Publications, vol. 77, no. 3

Milan Paštéka

Details:

Year, pages: 2020, 43 - 52

Language: eng

Keywords:

asymptotic density, distribution function, probability, measure density

Article type: Mathematics

Document type: Scientific paper

DOI: https://doi.org/10.2478/tmmp-2020-0031

Full text

About article:

The paper deals with independent sequences with continuous asymptotic distribution functions. We construct a compact metric space with Borel probability measure. We use its properties to prove the central limit theorem for independent sequences with continuous distribution functions.

How to cite:

ISO 690:

Paštéka, M. 2020. Central limit theorem and the distribution of sequences: Tatra Mt. Math. Publ. Number Theory and Cryptology '20. In Tatra Mountains Mathematical Publications, vol. 77, no.3, pp. 43-52. 1210-3195. DOI: https://doi.org/10.2478/tmmp-2020-0031

APA:

Paštéka, M. (2020). Central limit theorem and the distribution of sequences: Tatra Mt. Math. Publ. Number Theory and Cryptology '20. Tatra Mountains Mathematical Publications, 77(3), 43-52. 1210-3195. DOI: https://doi.org/10.2478/tmmp-2020-0031

About edition:

Publisher: Mathematical Institute, Slovak Academy of Sciences, Bratislava

Published: 20. 12. 2020

Rights:

The Creative Commons Attribution-NC-ND 4.0 International Public License