Volodin Igor Nikolaevich

Publications in Math-Net.Ru

1. Sequential $d$-guaranteed estimate of the normal mean with bounded relative error
   
   Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, 161:1 (2019),  145–151
2. Lower bounds for the expected sample size in the classical and $d$-posterior statistical problems
   
   Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, 160:2 (2018),  309–316
3. James–Stein confidence sets: equal area approach in the global approximation for the coverage probability
   
   Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, 152:1 (2010),  132–141
4. Specifying approximations of beta-distribution for small parameters
   
   Teor. Veroyatnost. i Primenen., 54:3 (2009),  573–579
5. The asymptotic of the necessary sample size in testing the hypotheses on the shape parameter of a distribution close to the normal one
   
   Izv. Vyssh. Uchebn. Zaved. Mat., 2007, no. 5,  46–52
6. Asymptotic expansion of the coverage probability of James–Stein estimators
   
   Teor. Veroyatnost. i Primenen., 51:4 (2006),  776–785
7. About distinguishing of BS-distribution from the family of GBS-distributions
   
   Kazan. Gos. Univ. Uchen. Zap. Ser. Fiz.-Mat. Nauki, 148:2 (2006),  31–36
8. Local asymptotic efficiency of a sequential probability ratio testfor $d$-guarantee discriminationof composite hypotheses
   
   Teor. Veroyatnost. i Primenen., 43:2 (1998),  209–225
9. Statistical estimators with asymptotically minimum $d$-risk
   
   Teor. Veroyatnost. i Primenen., 38:1 (1993),  20–32
10. Confidence estimation within the framework of the $d$-a posteriori approach
    
    Teor. Veroyatnost. i Primenen., 35:2 (1990),  242–254
11. On a test for the Weibull distribution against a family of generalized gamma-alternatives
    
    Izv. Vyssh. Uchebn. Zaved. Mat., 1987, no. 6,  3–8
12. Unbiasedness and Bayesness
    
    Izv. Vyssh. Uchebn. Zaved. Mat., 1987, no. 1,  3–7
13. Statistical inference with minimum $\alpha$-risk
    
    Issled. Prikl. Mat., 11:2 (1984),  25–39
14. Guaranteed statistical inference procedures (determination of the optimal sample size)
    
    Issled. Prikl. Mat., 10 (1984),  13–53
15. Asymptotic behavior of the necessary sample size in $d$-guaranteed discrimination of two close hypotheses
    
    Izv. Vyssh. Uchebn. Zaved. Mat., 1983, no. 11,  59–66
16. Lower bounds for sample size sufficient for procedures of guaranteed equivariant estimation
    
    Izv. Vyssh. Uchebn. Zaved. Mat., 1982, no. 3,  14–17
17. Lower bounds for average sample size in the tests of invariability
    
    Teor. Veroyatnost. i Primenen., 25:2 (1980),  359–364
18. Lower bounds for average sample size in the tests of goodness-of-fit and homogeneity
    
    Teor. Veroyatnost. i Primenen., 24:3 (1979),  637–645
19. Lower bounds for average sample size and efficiency of procedures of statistical inference
    
    Teor. Veroyatnost. i Primenen., 24:1 (1979),  119–129
20. Optimum sample size in statistical inference procedures
    
    Izv. Vyssh. Uchebn. Zaved. Mat., 1978, no. 12,  33–45
21. Estimations of the necessary sample size in problems of statistical classification. II
    
    Teor. Veroyatnost. i Primenen., 22:4 (1977),  749–765
22. Estimations of the necessary sample size in problems of statistical classification. I
    
    Teor. Veroyatnost. i Primenen., 22:2 (1977),  347–357
23. On discrimination of gamma and Weibull distributions
    
    Teor. Veroyatnost. i Primenen., 19:2 (1974),  398–404
24. On a two-sample test of the variance analysis
    
    Teor. Veroyatnost. i Primenen., 18:4 (1973),  831–836
25. Experiment design for comparison of two normal population parameters
    
    Teor. Veroyatnost. i Primenen., 18:1 (1973),  206–210
26. Beta-distribution with small parameters
    
    Teor. Veroyatnost. i Primenen., 15:3 (1970),  563–566
27. Asymptotic analysis of the distribution of selective correlation coefficients and its statistical application
    
    Uchenye Zapiski Kazanskogo Universiteta, 130:3 (1970),  3–17
28. On the number of observations requir ed for testing hypotheses of the binomial distribution parameter
    
    Teor. Veroyatnost. i Primenen., 14:2 (1969),  327–332
29. The “direct” and “inverse” choice from Poisson populations
    
    Uchenye Zapiski Kazanskogo Universiteta, 129:4 (1969),  40–45
30. On the number of observations necessary for the distinction between two proximate hypotheses
    
    Teor. Veroyatnost. i Primenen., 12:3 (1967),  575–582
31. On the power of one criterion for distinguishing the two close Weibull types to a “nuisance” scale parameter
    
    Uchenye Zapiski Kazanskogo Universiteta, 127:3 (1967),  25–40
32. Distribution of the number of meteors in the sporadic background
    
    Uchenye Zapiski Kazanskogo Universiteta, 127:3 (1967),  21–24
33. On the distinction between the Poisson and Polya distributions when a large number of small samples is available
    
    Teor. Veroyatnost. i Primenen., 10:2 (1965),  364–367
34. Testing of statistical hypotheses on the type of distribution by small samples
    
    Uchenye Zapiski Kazanskogo Universiteta, 125:6 (1965),  3–23
35. The joint distribution of the maximum and minimum of a trajectory of a Wiener process
    
    Uchenye Zapiski Kazanskogo Universiteta, 122:4 (1962),  39–52


36. Book review: Voinov V. G., Nikulin M. S. «Unbiased estimates and their applications»
    
    Teor. Veroyatnost. i Primenen., 35:3 (1990),  617–618