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@article{DM_2021_33_2_a9, author = {M. P. Savelov}, title = {The limit joint distributions of statistics of four tests of the {NIST} package}, journal = {Diskretnaya Matematika}, pages = {141--154}, publisher = {mathdoc}, volume = {33}, number = {2}, year = {2021}, language = {ru}, url = {http://geodesic.mathdoc.fr/item/DM_2021_33_2_a9/} }
M. P. Savelov. The limit joint distributions of statistics of four tests of the NIST package. Diskretnaya Matematika, Tome 33 (2021) no. 2, pp. 141-154. http://geodesic.mathdoc.fr/item/DM_2021_33_2_a9/
[1] Rukhin A., Soto J., Nechvatal J., Smid M., Barker E., Leigh S., Levenson M., Vangel M., Banks D., Heckert A., Dray J., Vo S.,, A statistical test suite for the validation of random number generators and pseudo random number generators for cryptographic applications, NIST Special Publication 800-22 Revision 1a, ed. L. E. Bassham III, NIST, 27 April 2010
[2] Serov A. A., “Formuly dlya chisel posledovatelnostei, soderzhaschikh zadannyi shablon zadannoe chislo raz”, Diskretnaya matematika, 32:4 (2020), 120–136 | MR
[3] Zubkov A. M., Serov A. A., “A natural approach to the experimental study of dependence between statistical tests”, Matematicheskie voprosy kriptografii, 12:1 (2021), 131–142 | DOI | MR
[4] Zaman J. K. M. , Ghosh R., “Review on fifteen statistical tests proposed by NIST”, J. Theor. Phys. Cryptography, 1 (2012), 18–31
[5] Sulak F., Doǧanaksoy A., Uǧuz M., Koçak O., “Periodic template tests: A family of statistical randomness tests for a collection of binary sequences”, Discrete Appl. Math., 271 (2019), 191–204 | DOI | MR | Zbl
[6] Soto J., Bassham L., Randomness Testing of the Advanced Encryption Standard Finalist Candidates, NIST IR 6483, Nat. Inst. Stand. Technol., 1999
[7] Sulak F., Uǧuz M., Koçak O., Doǧanaksoy A., “On the independence of statistical randomness tests included in the NIST test suite”, Turkish J. Electr. Eng. $\$ Comput. Sci., 25 (2017), 3673–3683 | DOI | MR
[8] Georgescu C., Simion E., “New results concerning the power of NIST randomness tests”, Proc. Romanian acad., ser. A., 18 (2017), 381–388 | MR
[9] Iwasaki A., Umeno K., “A new randomness test solving problems of Discrete Fourier Transform Test”, IEICE Trans. Fundam. Electronics, Commun. Comput. Sci., E101.A:8 (2018), 1204–1214 | DOI
[10] Burciu P., Simion E., “Systematic approach of NIST statistical tests dependencies”, J. Electr. Eng., Electronics, Control and Comput. Sci., 5:15 (2019), 1–6
[11] Billingsli P., Skhodimost veroyatnostnykh mer, perev. s angl., Nauka, M., 1977, 352 pp.
[12] Hoeffding W., Robbins H., “The central limit theorem for dependent random variables”, Duke Math. J., 15:3 (1948), 773–780 | DOI | MR | Zbl
[13] Petrov V. V., “Ob usilennom zakone bolshikh chisel dlya posledovatelnosti neotritsatelnykh sluchainykh velichin”, Teoriya veroyatn. i ee primen., 53:2 (2008), 379–382
[14] Seber G. A. F., Wild C. J., Nonlinear regression, 2nd ed., John Wiley Sons, New York, 2003, 582 pp. | MR