Kudriavtsev Aleksey Andreevich

Publications in Math-Net.Ru

1. Uniform convergence rate estimates for the integral balance index
   
   Inform. Primen., 18:1 (2024),  33–39
2. A method for estimating parameters of the gamma-exponential distribution from a sample with weakly dependent components
   
   Inform. Primen., 17:3 (2023),  58–63
3. Minimax estimates of the loss function based on integral error probabilities during threshold processing of wavelet coefficients
   
   Inform. Primen., 15:4 (2021),  12–19
4. A method for estimating bent, shape and scale parameters of the gamma-exponential distribution
   
   Inform. Primen., 15:3 (2021),  57–62
5. Probabilistic characteristics of balance index of factors with generalized gamma distribution
   
   Inform. Primen., 15:1 (2021),  65–71
6. Some probability-statistical properties of the gamma-exponential distribution
   
   Sistemy i Sredstva Inform., 31:3 (2021),  18–35
7. Analytical properties and aspects of computation of the gamma-exponential function
   
   Sistemy i Sredstva Inform., 31:2 (2021),  108–118
8. Method of logarithmic moments for estimating the gamma-exponential distribution parameters
   
   Inform. Primen., 14:3 (2020),  49–54
9. Average probability of error in calculating wavelet–vaguelette coefficients while inverting the Radon transform
   
   Sistemy i Sredstva Inform., 30:4 (2020),  14–24
10. Estimation of the average error probability when calculating wavelet coefficients in the models with a long-term dependence
    
    Vestnik TVGU. Ser. Prikl. Matem. [Herald of Tver State University. Ser. Appl. Math.], 2020, no. 1,  20–28
11. On the representation of gamma-exponential and generalized negative binomial distributions
    
    Inform. Primen., 13:4 (2019),  76–80
12. A priori generalized gamma distribution in Bayesian balance models
    
    Inform. Primen., 13:3 (2019),  27–33
13. Bayesian models of factors balance with a priori Weibull and Nakagami distributions
    
    Inform. Primen., 13:2 (2019),  71–75
14. textit{A priori} Frechet and scaled inverse chi distribution in Bayesian balance models
    
    Inform. Primen., 13:1 (2019),  62–66
15. Advantage index in Bayesian reliability and balance models with beta-polynomial a priori densities
    
    Sistemy i Sredstva Inform., 29:3 (2019),  29–38
16. A priori generalized Frechet distribution in Bayesian balance models
    
    Sistemy i Sredstva Inform., 29:2 (2019),  39–45
17. A priori Weibull distribution in Bayesian balance models
    
    Sistemy i Sredstva Inform., 29:1 (2019),  174–179
18. Gamma-Weibull a priori distributions in Bayesian queuing models
    
    Inform. Primen., 12:4 (2018),  92–95
19. Bayesian balance models
    
    Inform. Primen., 12:3 (2018),  18–27
20. Minimization of errors of calculating wavelet coefficients while solving inverse problems
    
    Inform. Primen., 12:2 (2018),  17–23
21. Bayesian models for testing large groups of service device
    
    Inform. Primen., 12:1 (2018),  105–108
22. A priori inverse gamma distribution in Bayesian queuing models
    
    Sistemy i Sredstva Inform., 28:4 (2018),  54–60
23. Beta-polynomial a priori densities in bayesian reliability models
    
    Sistemy i Sredstva Inform., 28:3 (2018),  54–61
24. Gamma-exponential function in Bayesian queueing models
    
    Inform. Primen., 11:4 (2017),  104–108
25. Bayesian recurrent model of reliability growth: A priori densities of polynomial type
    
    Sistemy i Sredstva Inform., 27:4 (2017),  54–63
26. Local reconstruction of tomographic images in parallel and fan-beam scanning schemes
    
    Sistemy i Sredstva Inform., 27:3 (2017),  52–62
27. Bayesian queuing and reliability models: Degenerate-Weibull case
    
    Inform. Primen., 10:4 (2016),  68–71
28. Characteristics dependent on the balance coefficient in Bayesian models with compact support of a priori distributions
    
    Inform. Primen., 10:3 (2016),  77–80
29. Bayesian recurrent model of reliability growth: parabolic distribution of parameters
    
    Inform. Primen., 10:2 (2016),  80–83
30. Bayesian queueing and reliability models: A priori distributions with compact support
    
    Inform. Primen., 10:1 (2016),  67–71
31. Estimation of the optimal rate of the wavelet thresholding risk based on the error probabilities
    
    Vestnik TVGU. Ser. Prikl. Matem. [Herald of Tver State University. Ser. Appl. Math.], 2016, no. 1,  5–12
32. Bayesian recurrent model of reliability growth: beta-uniform distribution of parameters
    
    Inform. Primen., 9:1 (2015),  98–105
33. Software complex for analysis of Bayesian models in queueing and reliability theories
    
    Sistemy i Sredstva Inform., 25:3 (2015),  251–261
34. Bayesian recurrent model of reliability growth: beta-distribution of parameters
    
    Inform. Primen., 8:2 (2014),  48–54
35. Bayesian recurrent model of reliability growth: uniform distribution of parameters
    
    Inform. Primen., 7:2 (2013),  55–59
36. On a refinement of certain results for a Bayesian queuing model
    
    Inform. Primen., 5:1 (2011),  78–79
37. Bayesian queueing and reliabilitymodels: characteristics of mean number of claims in the system $M|M|1|\infty$
    
    Inform. Primen., 4:3 (2010),  16–21
38. Bayesian queueing and reliability models: general Erlang case
    
    Inform. Primen., 3:4 (2009),  30–34
39. Bayesian queuing and reliability models: an exponential-erlang case
    
    Inform. Primen., 3:1 (2009),  55–59
40. Bayesian queueing and reliability models
    
    Sistemy i Sredstva Inform., 2008, no. special issue,  40–53
41. Bayesian approach to queuing systems and reliability characteristics
    
    Inform. Primen., 1:2 (2007),  76–82