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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. p. 578-581 9366141 (Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Ryabko, B 2020,
Statistical Testing of Randomness. in
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., pp. 578-581, 16th International Symposium on Information Theory and its Applications, ISITA 2020, Virtual, Kapolei, United States,
24.10.2020.
https://doi.org/10.34385/proc.65.E01-2
APA
Vancouver
Ryabko B.
Statistical Testing of Randomness. In Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 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. pp. 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 -
