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Klebanov Lev (Leo) Borisovich

Publications in Math-Net.Ru

  1. On a problem of infinite divisibility

    Zap. Nauchn. Sem. POMI, 515 (2022),  156–161
  2. On normalization of integer-valued random variables

    Zap. Nauchn. Sem. POMI, 505 (2021),  138–146
  3. Characterization of probability distributions by the properties of linear forms with random coefficients

    Zap. Nauchn. Sem. POMI, 501 (2021),  181–193
  4. Some applications of Yu. V. Linnik's theorem on characteristic functions

    Zap. Nauchn. Sem. POMI, 495 (2020),  177–186
  5. Characterizations of Pareto distribution by the properties of neighboring order statistics

    Zap. Nauchn. Sem. POMI, 486 (2019),  63–70
  6. A new convexity-based inequality, characterization of probability distributions and some free-of-distribution tests

    Zap. Nauchn. Sem. POMI, 474 (2018),  63–76
  7. On the characterization of distributions of symmetric dependent random variables

    Zap. Nauchn. Sem. POMI, 466 (2017),  81–95
  8. Estimation of the tail of probability distribution through its characteristic function

    Zap. Nauchn. Sem. POMI, 454 (2016),  176–182
  9. Characterization of Elliptic Distributions

    Zap. Nauchn. Sem. POMI, 294 (2002),  19–28
  10. Ill-Posed probelms in statistical estimation theory

    Zap. Nauchn. Sem. POMI, 278 (2001),  36–62
  11. On reconstruction of the density based on the finite set of Radon's transformation

    Zap. Nauchn. Sem. POMI, 244 (1997),  181–185
  12. The quasi-convolutions and the applications to the coded images

    Zap. Nauchn. Sem. POMI, 244 (1997),  167–180
  13. What information about a wave function give its measurement by the tomograph method of a Wigner distribution restoration?

    Zap. Nauchn. Sem. POMI, 228 (1996),  189–200
  14. On a generalization of stable distributions

    Uspekhi Mat. Nauk, 50:5(305) (1995),  173–182
  15. On the location parameter confidence intervals based on a random size sample from a partially known population

    Zap. Nauchn. Sem. POMI, 207 (1993),  98–100
  16. On a condition of constancy of regression of a polynomial statistic on sample mean

    Zap. Nauchn. Sem. LOMI, 184 (1990),  106–114
  17. A Characterization of Distributions by a Property of Mean Values of Order Statistics

    Teor. Veroyatnost. i Primenen., 34:4 (1989),  780–785
  18. On renewal of a distribution by the mean values of the minima of a random number of random variables

    Zap. Nauchn. Sem. LOMI, 166 (1988),  60–62
  19. Estimation of Stability in S. N. Bernshtein's theorem

    Teor. Veroyatnost. i Primenen., 30:2 (1985),  358–360
  20. Probabilistic applications of an analogue of an inequality of A. N. Kolmogorov

    Dokl. Akad. Nauk SSSR, 279:3 (1984),  535–538
  21. A problem of Zolotarev and analogs of infinitely divisible and stable distributions in a sheme for summing of a random number of random variables

    Teor. Veroyatnost. i Primenen., 29:4 (1984),  757–760
  22. Characterizations of probability laws by the properties of indentically distributions of linear forms with random coefficients

    Zap. Nauchn. Sem. LOMI, 136 (1984),  58–73
  23. $\varepsilon$-independence of the sample mean and the tubular statistics

    Teor. Veroyatnost. i Primenen., 28:1 (1983),  157–163
  24. An estimator of a distance between distributions in terms of a distance between their characteristic functions in finite interval

    Zap. Nauchn. Sem. LOMI, 108 (1981),  111–118
  25. Einige Ergebnisse, die mit Charakterisierung der Exponentialvertellung verbunden sind

    Teor. Veroyatnost. i Primenen., 25:3 (1980),  628–633
  26. Some estimators of a distance between distributions in terms of characteristic functions

    Zap. Nauchn. Sem. LOMI, 98 (1980),  86–97
  27. Unbiased parametric estimate of probability distribution

    Mat. Zametki, 25:5 (1979),  743–750
  28. When has a quadratic statistics a constant regression on the sample mean?

    Teor. Veroyatnost. i Primenen., 24:3 (1979),  646–648
  29. Once more on stability estimation in the problem of reconstructing the additive type of a distribution

    Zap. Nauchn. Sem. LOMI, 87 (1979),  74–78
  30. The stability of the problem of statistical estimation and a choice of the loss function

    Zap. Nauchn. Sem. LOMI, 87 (1979),  62–73
  31. Characterization of distributions by a property of modified $\chi^2$-statistic

    Mat. Zametki, 24:4 (1978),  583–588
  32. Bayesian estimates, stable with respect to the choice of the loss function

    Mat. Zametki, 23:2 (1978),  327–334
  33. Einige Aufgaben der Verteilungscharakterisierung, die in der Zuverlässigkeitstheorie entstehen

    Teor. Veroyatnost. i Primenen., 23:4 (1978),  828–831
  34. Parametric estimates of a density function and characterization of the families of distributions with a location parameter admitting sufficient statistic

    Zap. Nauchn. Sem. LOMI, 79 (1978),  11–16
  35. $L_k^{(2)}$-sufficient subspaces for families with shift and scale parameters

    Mat. Zametki, 20:2 (1976),  279–291
  36. On Asymptotic Behavior of Certain Estimates of Shift and Scale Parameters

    Probl. Peredachi Inf., 12:3 (1976),  41–56
  37. Eine allgemeine Definition der erwartungstreuen Schätzung

    Teor. Veroyatnost. i Primenen., 21:3 (1976),  584–598
  38. Asymptotic $\varepsilon$-admissibility of the sample variance as an estimator of the population variance

    Zap. Nauchn. Sem. LOMI, 61 (1976),  75–83
  39. Estimating stability in the problem of reconstructing the additive type of a distribution

    Zap. Nauchn. Sem. LOMI, 61 (1976),  68–74
  40. Characterization of loss functions in the statistical theory of estimation

    Zap. Nauchn. Sem. LOMI, 53 (1975),  130–141
  41. On families of distributions with location parameter admitting a sufficient statistic of rank not greater that two

    Teor. Veroyatnost. i Primenen., 19:3 (1974),  604–611
  42. Unbiased estimates and sufficient statistics

    Teor. Veroyatnost. i Primenen., 19:2 (1974),  392–397
  43. On conditions for the zero regression of one linear statistic with respect to another

    Teor. Veroyatnost. i Primenen., 19:1 (1974),  206–210
  44. On characterization of the normal and Gamma distributions by properties of Fisher information

    Zap. Nauchn. Sem. LOMI, 43 (1974),  53–58
  45. Unbiased estimators and convex loss functions

    Zap. Nauchn. Sem. LOMI, 43 (1974),  40–52
  46. Asymptotic behaviour of the polynomial Pitman estimators

    Zap. Nauchn. Sem. LOMI, 43 (1974),  30–39
  47. Inadmissibility of polynomial estimates of the shift parameter

    Mat. Zametki, 14:6 (1973),  885–893
  48. Reconstituting the distribution of the components of a random Vector from distributions of certain statistics

    Mat. Zametki, 13:6 (1973),  889–892
  49. A characterization of the normal distribution by a property of order statistics

    Mat. Zametki, 13:1 (1973),  121–124
  50. On the Characterization of a Family of Distributions by the Property of Independence of Statistics

    Teor. Veroyatnost. i Primenen., 18:3 (1973),  639–642
  51. The Admissibility of the Sample Mean As an Estimate of the Location Parameter for Non-Quadratic Risk Functions

    Teor. Veroyatnost. i Primenen., 18:2 (1973),  339–349
  52. “Universal” loss functions and unbiased estimates

    Dokl. Akad. Nauk SSSR, 203:6 (1972),  1249–1251
  53. Unbiased estimation and matrix loss functions

    Dokl. Akad. Nauk SSSR, 200:5 (1971),  1024–1025
  54. Local behavior of the solutions of ordinary differential equations

    Differ. Uravn., 7:8 (1971),  1393–1397
  55. A remark on independence of a tubular statistic and the sample mean

    Teor. Veroyatnost. i Primenen., 16:4 (1971),  753–755
  56. A certain generalization of Craig's theorem

    Dokl. Akad. Nauk SSSR, 195:4 (1970),  763–764
  57. Admissibility of a sample mean as estimate of the shift parameter in the presence of polynomial losses

    Dokl. Akad. Nauk SSSR, 194:3 (1970),  508–509
  58. The sample mean as an estimator of the shift parameter in the presence of certain losses which differ from the quadratic

    Dokl. Akad. Nauk SSSR, 189:1 (1969),  29–30

  59. Í. V. Robert, Ed. «Stadies in Statistics» (book review)

    Teor. Veroyatnost. i Primenen., 26:1 (1981),  218

© Steklov Math. Inst. of RAS, 2024