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Publications in Math-Net.Ru |
Citations |
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2024 |
1. |
E. D. Makeeva, I. A. Kochetkova, S. Ya. Shorgin, “Stochastic path loss model in 5П network deployment scenarios: a study based on 3GPP TR 38.901”, Inform. Primen., 18:2 (2024), 25–31 |
2. |
A. A. Grusho, N. A. Grusho, M. I. Zabezhailo, V. O. Piskovski, E. E. Timonina, S. Ya. Shorgin, “Logic of deception in machine learning”, Inform. Primen., 18:1 (2024), 78–83 |
3. |
A. S. Rumyantseva, F. A. Moskaleva, A. K. Samuilov, S. Ya. Shorgin, Yu. V. Gaidamaka, “On modeling shared service of unicast and multicast traffic with prioritization”, Sistemy i Sredstva Inform., 34:2 (2024), 40–54 |
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2023 |
4. |
D. V. Ivanova, E. V. Markova, S. Ya. Shorgin, Yu. V. Gaidamaka, “Priority-based eMBB and URLLC traffic coexistence models in 5G NR industrial deployments”, Inform. Primen., 17:4 (2023), 64–70 |
5. |
A. A. Grusho, N. A. Grusho, M. I. Zabezhailo, E. E. Timonina, S. Ya. Shorgin, “Complex cause-and-effect relationships”, Inform. Primen., 17:2 (2023), 84–89 |
1
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6. |
K. Y. B. Adou, E. V. Markova, Yu. V. Gaidamaka, S. Ya. Shorgin, “Preemption-based prioritization scheme for network resources slicing in 5G systems”, Inform. Primen., 17:1 (2023), 96–106 |
7. |
A. A. Grusho, N. A. Grusho, M. I. Zabezhailo, V. V. Kulchenkov, E. E. Timonina, S. Ya. Shorgin, “Causal relationships in classification problems”, Inform. Primen., 17:1 (2023), 43–49 |
5
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8. |
A. A. Grusho, M. I. Zabezhailo, V. V. Kulchenkov, D. V. Smirnov, E. E. Timonina, S. Ya. Shorgin, “Cause-and-effect relationships in analysis of unobservable process properties”, Sistemy i Sredstva Inform., 33:2 (2023), 71–78 |
2
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9. |
A. A. Grusho, N. A. Grusho, M. I. Zabezhailo, A. A. Zatsarinny, E. E. Timonina, S. Ya. Shorgin, “Classification problem in conditions of distorted cause-and-effect relationships”, Sistemy i Sredstva Inform., 33:1 (2023), 59–67 |
1
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2022 |
10. |
A. A. Grusho, N. A. Grusho, M. I. Zabezhailo, D. V. Smirnov, E. E. Timonina, S. Ya. Shorgin, “About the secure architecture of a microservice-based computing system”, Inform. Primen., 16:4 (2022), 87–92 |
11. |
E. A. Machnev, V. A. Beschastnyi, D. Yu. Ostrikova, Yu. V. Gaidamaka, S. Ya. Shorgin, “On the optimal antenna deployment for subterahertz V2X communications”, Inform. Primen., 16:4 (2022), 42–50 |
12. |
A. S. Vlaskina, S. A. Burtseva, I. A. Kochetkova, S. Ya. Shorgin, “Controllable queuing system with elastic traffic and signals for analyzing network slicing”, Inform. Primen., 16:3 (2022), 90–96 |
3
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13. |
V. A. Beschastnyi, D. Yu. Ostrikova, S. Ya. Shorgin, D. A. Moltchanov, Yu. V. Gaidamaka, “Density analysis of mmWave NR deployments for delivering scalable AR/VR video services”, Inform. Primen., 16:2 (2022), 102–108 |
1
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14. |
A. A. Grusho, N. A. Grusho, M. I. Zabezhailo, A. A. Zatsarinny, E. E. Timonina, S. Ya. Shorgin, “Cause-and-effect chain analysis”, Inform. Primen., 16:2 (2022), 68–74 |
1
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15. |
A. A. Grusho, N. A. Grusho, M. I. Zabezhailo, D. V. Smirnov, E. E. Timonina, S. Ya. Shorgin, “Detection of distribution drift”, Sistemy i Sredstva Inform., 32:4 (2022), 14–20 |
16. |
A. A. Grusho, N. A. Grusho, M. I. Zabezhailo, D. V. Smirnov, E. E. Timonina, S. Ya. Shorgin, “Some approaches to network DLP analysis”, Sistemy i Sredstva Inform., 32:2 (2022), 72–80 |
17. |
A. A. Grusho, N. A. Grusho, M. I. Zabezhailo, D. V. Smirnov, E. E. Timonina, S. Ya. Shorgin, “Search of anomalies in big data”, Sistemy i Sredstva Inform., 32:1 (2022), 160–167 |
2
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2021 |
18. |
I. A. Kochetkova, A. I. Kushchazli, P. A. Kharin, S. Ya. Shorgin, “Model for analyzing priority admission control of URLLC and eMBB communications in 5G networks as a resource queuing system”, Inform. Primen., 15:4 (2021), 87–92 |
2
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19. |
A. A. Grusho, N. A. Grusho, M. I. Zabezhailo, D. V. Smirnov, E. E. Timonina, S. Ya. Shorgin, “Statistics and clusters for detection of anomalous insertions in Big Data environment”, Inform. Primen., 15:4 (2021), 79–86 |
4
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20. |
A. A. Kudryavtsev, O. V. Shestakov, S. Ya. Shorgin, “A method for estimating bent, shape and scale parameters of the gamma-exponential distribution”, Inform. Primen., 15:3 (2021), 57–62 |
2
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21. |
A. A. Grusho, D. V. Smirnov, E. E. Timonina, S. Ya. Shorgin, “Enhanced tokenization algorithm for personal data protection”, Sistemy i Sredstva Inform., 31:4 (2021), 135–143 |
1
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22. |
E. V. Bobrikova, A. A. Platonova, Yu. V. Gaidamaka, S. Ya. Shorgin, “An example of neural network usage for assigning a modulation-code scheme to a 5G base station scheduler”, Sistemy i Sredstva Inform., 31:3 (2021), 135–143 |
23. |
I. A. Kochetkova, A. I. Kushchazli, P. A. Kharin, S. Ya. Shorgin, “Model for analyzing priority URLLC transmission with eMBB bit rate degradation and interruptions in 5G networks”, Sistemy i Sredstva Inform., 31:3 (2021), 123–134 |
2
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24. |
M. O. Vorontsov, A. A. Kudryavtsev, S. Ya. Shorgin, “Analytical properties and aspects of computation of the gamma-exponential function”, Sistemy i Sredstva Inform., 31:2 (2021), 108–118 |
25. |
A. S. Tsarev, E. M. Khayrov, Yu. V. Gaidamaka, S. Ya. Shorgin, “Analytical model of carrier sense multiple access protocol for Industrial Internet of Things applications”, Sistemy i Sredstva Inform., 31:2 (2021), 16–25 |
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2020 |
26. |
P. A. Kharin, E. D. Makeeva, I. A. Kochetkova, D. V. Efrosinin, S. Ya. Shorgin, “Retrial queuing model for analyzing joint URLLC and eMBB transmission in 5G networks”, Inform. Primen., 14:4 (2020), 17–24 |
2
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27. |
K. A. Ageev, E. S. Sopin, N. V. Yarkina, K. E. Samouylov, S. Ya. Shorgin, “Analysis of the network slicing mechanisms with guaranteed allocated resources for various traffic types”, Inform. Primen., 14:3 (2020), 94–100 |
3
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28. |
A. A. Grusho, M. I. Zabezhailo, D. V. Smirnov, E. E. Timonina, S. Ya. Shorgin, “Mathematical statistics in the task of identifying hostile insiders”, Inform. Primen., 14:3 (2020), 71–75 |
1
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29. |
I. Yu. Teryokhina, A. A. Grusho, E. E. Timonina, S. Ya. Shorgin, “Constructing process models represented by simple Petri nets”, Sistemy i Sredstva Inform., 30:4 (2020), 61–75 |
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2019 |
30. |
A. A. Gaidamaka, N. V. Chukhno, O. V. Chukhno, K. E. Samouylov, S. Ya. Shorgin, “Formalization of the alternatives ranking method for group decision making in social networks”, Inform. Primen., 13:3 (2019), 63–71 |
31. |
E. V. Markova, A. A. Golskaia, I. L. Dzantiev, I. A. Gudkova, S. Ya. Shorgin, “Comparative analysis of performance measures for a wireless machine-to-machine network model”, Inform. Primen., 13:1 (2019), 108–116 |
2
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32. |
O. V. Chukhno, N. V. Chukhno, Yu. V. Gaidamaka, S. Ya. Shorgin, “Approximation of antenna directivity gain for directional deafness analysis in three-dimensional space”, Sistemy i Sredstva Inform., 29:3 (2019), 39–51 |
1
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2018 |
33. |
K. E. Samouylov, Yu. V. Gaidamaka, S. Ya. Shorgin, “Modeling the movement of devices in a wireless network by random walk models”, Inform. Primen., 12:4 (2018), 2–8 |
34. |
A. A. Grusho, E. E. Timonina, S. Ya. Shorgin, “Hierarchical method of meta data generation for control of network connections”, Inform. Primen., 12:2 (2018), 44–49 |
9
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35. |
A. A. Grusho, E. E. Timonina, S. Ya. Shorgin, “Overcoming of protection of a network where connections are controlled by meta data”, Sistemy i Sredstva Inform., 28:4 (2018), 22–30 |
36. |
A. A. Kudryavtsev, S. I. Palionnaia, S. Ya. Shorgin, “Beta-polynomial a priori densities in bayesian reliability models”, Sistemy i Sredstva Inform., 28:3 (2018), 54–61 |
1
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2017 |
37. |
Yu. Gaidamaka, K. Samouylov, S. Shorgin, “Method of modeling interference characteristics in heterogeneous fifth generation wireless networks with device-to-device communications”, Inform. Primen., 11:4 (2017), 2–9 |
1
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38. |
K. E. Samouylov, E. S. Sopin, S. Ya. Shorgin, “Queuing systems with resources and signals and their application for performance evaluation of wireless networks”, Inform. Primen., 11:3 (2017), 99–105 |
39. |
I. A. Gudkova, S. Ya. Shorgin, “Probability model for analyzing licensed shared access with adaptive power control in a wireless network”, Inform. Primen., 11:3 (2017), 90–98 |
1
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40. |
A. I. Zeifman, A. V. Korotysheva, Ya. A. Satin, K. M. Kiseleva, R. V. Razumchik, V. Yu. Korolev, S. Ya. Shorgin, “Truncation bounds for a class of inhomogeneous birth and death queueing models with additional transitions”, Sistemy i Sredstva Inform., 27:3 (2017), 37–51 |
1
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2016 |
41. |
Yu. V. Gaidamaka, S. D. Andreev, E. S. Sopin, K. E. Samouylov, S. Ya. Shorgin, “Interference analysis of the device-to-device communications model with regard to a signal propagation environment”, Inform. Primen., 10:4 (2016), 2–10 |
4
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42. |
A. A. Grusho, N. A. Grusho, E. E. Timonina, S. Ya. Shorgin, “Architectural vulnerabilities of distributed information systems”, Sistemy i Sredstva Inform., 26:3 (2016), 74–82 |
2
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2015 |
43. |
O. G. Vikhrova, K. E. Samouylov, E. S. Sopin, S. Ya. Shorgin, “On performance analysis of modern wireless networks”, Inform. Primen., 9:4 (2015), 48–55 |
4
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44. |
A. V. Gorbunova, I. S. Zaryadov, S. I. Matyushenko, K. E. Samouylov, S. Ya. Shorgin, “The approximation of response time of a cloud computing system”, Inform. Primen., 9:3 (2015), 32–38 |
7
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45. |
Iu. V. Zhavoronkova, A. A. Kudryavtsev, S. Ya. Shorgin, “Bayesian recurrent model of reliability growth: beta-uniform distribution of parameters”, Inform. Primen., 9:1 (2015), 98–105 |
3
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46. |
A. A. Grusho, N. A. Grusho, E. E. Timonina, S. Ya. Shorgin, “Possibilities of secure architecture creation for dynamically changing information systems”, Sistemy i Sredstva Inform., 25:3 (2015), 78–93 |
9
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2014 |
47. |
A. I. Zeifman, A. V. Korotysheva, K. M. Kiseleva, V. Yu. Korolev, S. Ya. Shorgin, “On the bounds of the rate of convergence and stability for some queueing models”, Inform. Primen., 8:3 (2014), 19–27 |
48. |
Iu. V. Zhavoronkova, A. A. Kudryavtsev, S. Ya. Shorgin, “Bayesian recurrent model of reliability growth: beta-distribution of parameters”, Inform. Primen., 8:2 (2014), 48–54 |
4
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49. |
A. I. Zeifman, V. Yu. Korolev, A. V. Korotysheva, S. Ya. Shorgin, “General bounds for nonstationary continuous-time Markov chains”, Inform. Primen., 8:1 (2014), 106–117 |
2
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50. |
A. A. Grusho, N. A. Grusho, E. E. Timonina, S. Ya. Shorgin, “Secure architecture of distributed systems”, Sistemy i Sredstva Inform., 24:3 (2014), 18–31 |
10
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2013 |
51. |
Yu. V. Gaidamaka, A. V. Pechinkin, R. V. Razumchik, A. K. Samuylov, K. E. Samouylov, I. A. Sokolov, E. S. Sopin, S. Ya. Shorgin, “The distribution of the return time from the set of overload states to the set of normal load states in a system $M|M|1|\langle L,H \rangle |\langle H,R \rangle$ with hysteretic load control”, Inform. Primen., 7:4 (2013), 20–33 |
3
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52. |
A. A. Kudriavtsev, I. A. Sokolov, S. Ya. Shorgin, “Bayesian recurrent model of reliability growth: uniform distribution of parameters”, Inform. Primen., 7:2 (2013), 55–59 |
7
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2012 |
53. |
A. I. Zeifman, A. V. Korotysheva, Ya. A. Satin, S. Ya. Shorgin, “Bounds in null ergodic case for some queueing systems”, Inform. Primen., 6:4 (2012), 27–33 |
1
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54. |
A. V. Pechinkin, I. A. Sokolov, S. Ya. Shorgin, “A restriction on the total volume of demands in the discrete-time system Geo$/G/1/\infty$”, Inform. Primen., 6:3 (2012), 107–113 |
1
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2011 |
55. |
A. Cascone, R. Manzo, A. V. Pechinkin, S. Ya. Shorgin, “$Geo_m/G/1/n$ system with $LIFO$ discipline without interrupts and constrained total amount of customers”, Avtomat. i Telemekh., 2011, no. 1, 107–120 ; Autom. Remote Control, 72:1 (2011), 99–110 |
9
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56. |
Ya. A. Satin, A. I. Zeifman, A. V. Korotysheva, S. Ya. Shorgin, “On a class of Markovian queues”, Inform. Primen., 5:4 (2011), 18–24 |
8
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57. |
V. Yu. Korolev, I. G. Shevtsova, S. Ya. Shorgin, “On the Berry–Esseen type inequalities for poisson random sums”, Inform. Primen., 5:3 (2011), 64–66 |
11
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58. |
A. I. Zeifman, A. V. Korotysheva, T. L. Panfilova, S. Ya. Shorgin, “Stability bounds for some queueing systems with catastrophes”, Inform. Primen., 5:3 (2011), 27–33 |
7
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59. |
A. A. Kudriavtsev, S. Ya. Shorgin, “On a refinement of certain results for a Bayesian queuing model”, Inform. Primen., 5:1 (2011), 78–79 |
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2010 |
60. |
A. A. Kudriavtsev, S. Ya. Shorgin, “Bayesian queueing and reliabilitymodels: characteristics of mean number of claims in the system $M|M|1|\infty$”, Inform. Primen., 4:3 (2010), 16–21 |
2
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61. |
A. I. Zeifman, A. V. Korotysheva, Ya. A. Satin, S. Ya. Shorgin, “On stability for nonstationary queueing systemswith catastrophes”, Inform. Primen., 4:3 (2010), 9–15 |
4
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2009 |
62. |
A. A. Kudriavtsev, V. S. Shorgin, S. Ya. Shorgin, “Bayesian queueing and reliability models: general Erlang case”, Inform. Primen., 3:4 (2009), 30–34 |
5
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63. |
A. A. Kudriavtsev, S. Ya. Shorgin, “Bayesian queuing and reliability models: an exponential-erlang case”, Inform. Primen., 3:1 (2009), 55–59 |
4
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64. |
M. G. Konovalov, Yu. Dushin, Yu. E. Malashenko, S. Ya. Shorgin, “The model of interaction among consumers and remote computational resources by means of brokers”, Sistemy i Sredstva Inform., 2009, no. 19, 5–33 |
2
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2008 |
65. |
A. V. Pechinkin, S. Ya. Shorgin, “$Geo/G/1/\infty$-queue with one “nonstandard” discipline of service”, Inform. Primen., 2:1 (2008), 55–62 |
1
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66. |
Alexey Kudryavtsev, Sergey Shorgin, Vsevolod Shorgin, Valery Chentsov, “Bayesian queueing and reliability models”, Sistemy i Sredstva Inform., 2008, no. special issue, 40–53 |
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2007 |
67. |
A. A. Kudriavtsev, S. Ya. Shorgin, “Bayesian approach to queuing systems and reliability characteristics”, Inform. Primen., 1:2 (2007), 76–82 |
7
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68. |
D. A. Batrakova, V. Yu. Korolev, S. Ya. Shorgin, “A new method for the probabilistic and statistical analysis of information flows in telecommunication networks”, Inform. Primen., 1:1 (2007), 40–53 |
6
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2006 |
69. |
S. V. Antonov, Yu. A. Dushin, M. G. Konovalov, S. Ya. Shorgin, “Development of mathematical models and methods of task distribution in distributed computational system”, Sistemy i Sredstva Inform., 2006, no. 16, 32–45 |
1
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70. |
I. A. Sokolov, A. A. Zatsarinnyi, A. V. Pechinkin, S. V. Antonov, S. Ya. Shorgin, Yu. A. Dushin, I. V. Lyzlova, “Complex of mathematical and program tools for information and telecommunication systems modelling”, Sistemy i Sredstva Inform., 2006, no. 16, 4–31 |
1
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1996 |
71. |
S. Ya. Shorgin, “On the accuracy of the normal approximation of distributions of random sums with infinitely divisible indices”, Teor. Veroyatnost. i Primenen., 41:4 (1996), 920–926 ; Theory Probab. Appl., 41:4 (1997), 798–805 |
8
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1982 |
72. |
S. Ya. Šorgin, “Non-classical estimates of the rate of convergence in the central limit theorem which take into account large deviations”, Teor. Veroyatnost. i Primenen., 27:2 (1982), 308–318 ; Theory Probab. Appl., 27:2 (1983), 324–337 |
4
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1978 |
73. |
S. Ya. Šorgin, “A non-classical estimate of the rate of convergence in the multidimensional central limit theorem which takes into account large deviations”, Teor. Veroyatnost. i Primenen., 23:3 (1978), 692–697 ; Theory Probab. Appl., 23:3 (1979), 667–671 |
4
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1977 |
74. |
S. Ya. Šorgin, “Approximation of a generalized binomial distribution”, Teor. Veroyatnost. i Primenen., 22:4 (1977), 867–871 ; Theory Probab. Appl., 22:4 (1978), 846–850 |
36
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2020 |
75. |
I. A. Sokolov, V. N. Zakharov, S. Ya. Shorgin, E. R. Korepanov, I. N. Sinitsyn, “Стохастические системы и развитие организационно-технико-экономических систем
(к восьмидесятилетию заслуженного деятеля науки Российской Федерации И. Н. Синицына)”, Sistemy i Sredstva Inform., 30:3 (2020), 172–195 |
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2012 |
76. |
S. Ya. Shorgin, “Book review”, Inform. Primen., 6:2 (2012), 129 |
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2011 |
77. |
I. A. Sokolov, S. Ya. Shorgin, “On the 60th anniversary of A. A. Zatsarinnyi”, Inform. Primen., 5:3 (2011), 86 |
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2010 |
78. |
S. Ya. Shorgin, E. R. Korepanov, V. I. Sinitsyn, “To the 70th jubilee of I. N. Sinitsyn, the Honored Scientist of the Russian Federation”, Sistemy i Sredstva Inform., 20:1 (2010), 165–169 |
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2009 |
79. |
S. Ya. Shorgin, “Монография И. Н. Синицына «Канонические представления случайных функций и их применение в задачах компьютерной поддержки научных исследований» (М.: Торус Пресс, 2009. 840 с.)”, Inform. Primen., 3:4 (2009), 102–103 |
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