A Generalization of the Rozovskii Inequality
- Autores: Gabdullin R.A.1, Makarenko V.1, Shevtsova I.G.2,1,3
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Afiliações:
- Faculty of Computational Mathematics and Cybernetics, Moscow State University
- School of Science, Hangzhou Dianzi University
- Institute of Informatics Problems of Federal Research Center “Computer Science and Control,” Russian Academy of Sciences
- Edição: Volume 237, Nº 6 (2019)
- Páginas: 775-781
- Seção: Article
- URL: https://ogarev-online.ru/1072-3374/article/view/242450
- DOI: https://doi.org/10.1007/s10958-019-04203-2
- ID: 242450
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Resumo
Adopting ideas of Katz (1963), Petrov (1965), Wang and Ahmad (2016), and Gabdullin, Makarenko, and Shevtsova (2016), we generalize the Rozovskii inequality (1974) which provides an estimate of the accuracy of the normal approximation to distribution of a sum of independent random variables in terms of the absolute value of the sum of truncated in a fixed point third-order moments and the sum of the second-order tails of random summands. The generalization is due to introduction of a truncation parameter and a weighting function from a set of functions originally introduced by Katz (1963). The obtained inequality does not assume finiteness of moments of random summands of order higher than the second and may be even sharper than the celebrated inequalities of Berry (1941), Esseen (1942, 1969), Katz (1963), Petrov (1965), and Wang & Ahmad (2016).
Sobre autores
R. Gabdullin
Faculty of Computational Mathematics and Cybernetics, Moscow State University
Email: ishevtsova@cs.msu.ru
Rússia, Moscow
V.A. Makarenko
Faculty of Computational Mathematics and Cybernetics, Moscow State University
Email: ishevtsova@cs.msu.ru
Rússia, Moscow
I. Shevtsova
School of Science, Hangzhou Dianzi University; Faculty of Computational Mathematics and Cybernetics, Moscow State University; Institute of Informatics Problems of Federal Research Center “Computer Science and Control,” Russian Academy of Sciences
Autor responsável pela correspondência
Email: ishevtsova@cs.msu.ru
República Popular da China, Hangzhou; Moscow; Moscow
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