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Statistical Testing of Randomness. / Ryabko, Boris.

Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. стр. 578-581 9366141 (Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020).

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Harvard

Ryabko, B 2020, Statistical Testing of Randomness. в Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020., 9366141, Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020, Institute of Electrical and Electronics Engineers Inc., стр. 578-581, 16th International Symposium on Information Theory and its Applications, ISITA 2020, Virtual, Kapolei, Соединенные Штаты Америки, 24.10.2020. https://doi.org/10.34385/proc.65.E01-2

APA

Ryabko, B. (2020). Statistical Testing of Randomness. в Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020 (стр. 578-581). [9366141] (Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.34385/proc.65.E01-2

Vancouver

Ryabko B. Statistical Testing of Randomness. в Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. стр. 578-581. 9366141. (Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020). doi: 10.34385/proc.65.E01-2

Author

Ryabko, Boris. / Statistical Testing of Randomness. Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. стр. 578-581 (Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020).

BibTeX

@inproceedings{ea36c6d2466644118d2c08d591728430,
title = "Statistical Testing of Randomness",
abstract = "The problem of constructing effective statistical tests for random sequences of binary digits is considered. The effectiveness of such statistical tests is mainly estimated on the basis of experiments with various random number generators. We consider this problem in the framework of mathematical statistics and find an asymptotic estimate for the p-value of the optimal test in the case when the alternative hypothesis is an unknown stationary ergodic source. ",
author = "Boris Ryabko",
note = "Funding Information: ACKNOWLEDGMENT Research was supported by Russian Foundation for Basic Research (grant no. 18-29-03005). Publisher Copyright: {\textcopyright} 2020 IEICE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 16th International Symposium on Information Theory and its Applications, ISITA 2020 ; Conference date: 24-10-2020 Through 27-10-2020",
year = "2020",
month = oct,
day = "24",
doi = "10.34385/proc.65.E01-2",
language = "English",
series = "Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "578--581",
booktitle = "Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020",
address = "United States",

}

RIS

TY - GEN

T1 - Statistical Testing of Randomness

AU - Ryabko, Boris

N1 - Funding Information: ACKNOWLEDGMENT Research was supported by Russian Foundation for Basic Research (grant no. 18-29-03005). Publisher Copyright: © 2020 IEICE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2020/10/24

Y1 - 2020/10/24

N2 - The problem of constructing effective statistical tests for random sequences of binary digits is considered. The effectiveness of such statistical tests is mainly estimated on the basis of experiments with various random number generators. We consider this problem in the framework of mathematical statistics and find an asymptotic estimate for the p-value of the optimal test in the case when the alternative hypothesis is an unknown stationary ergodic source.

AB - The problem of constructing effective statistical tests for random sequences of binary digits is considered. The effectiveness of such statistical tests is mainly estimated on the basis of experiments with various random number generators. We consider this problem in the framework of mathematical statistics and find an asymptotic estimate for the p-value of the optimal test in the case when the alternative hypothesis is an unknown stationary ergodic source.

UR - http://www.scopus.com/inward/record.url?scp=85102612478&partnerID=8YFLogxK

U2 - 10.34385/proc.65.E01-2

DO - 10.34385/proc.65.E01-2

M3 - Conference contribution

AN - SCOPUS:85102612478

T3 - Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020

SP - 578

EP - 581

BT - Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 16th International Symposium on Information Theory and its Applications, ISITA 2020

Y2 - 24 October 2020 through 27 October 2020

ER -

ID: 28134094