Kagan Abram Meerovich

Publications in Math-Net.Ru

1. Contribution to the theory of Pitman estimators
   
   Zap. Nauchn. Sem. POMI, 408 (2012),  245–267
2. A lemma on stochastic majorization and properties of the Student distribution
   
   Teor. Veroyatnost. i Primenen., 52:1 (2007),  199–203
3. On estimation of a location parameter in presence of an ancillary component
   
   Teor. Veroyatnost. i Primenen., 50:1 (2005),  172–176
4. The least squares estimate, nonquadratic errors and the Gaussian distribution
   
   Teor. Veroyatnost. i Primenen., 36:1 (1991),  34–41
5. Generalized Condition ot the Identity of Distributions of Random Vectors in Connection with the Asymptotic Theory of Linear Forms in Independent Random Values
   
   Teor. Veroyatnost. i Primenen., 34:2 (1989),  370–375
6. New Classes of Dependent Random Variables and Generalization of Darmois–Skytovich Theorem to the Case of Several Forms
   
   Teor. Veroyatnost. i Primenen., 33:2 (1988),  305–314
7. The analytical precising of the Heyde theorem on linear forms of independent random variables
   
   Zap. Nauchn. Sem. LOMI, 166 (1988),  54–59
8. A class of Two-Dimensional Distributions Arising in Connection with Cramer and Darmois–Skitovitch Theorems
   
   Teor. Veroyatnost. i Primenen., 32:2 (1987),  349–351
9. Contribution to the analytic theory of linear forms of independent random variables
   
   Zap. Nauchn. Sem. LOMI, 153 (1986),  37–44
10. An information property of exponential families
    
    Teor. Veroyatnost. i Primenen., 30:4 (1985),  783–786
11. A simple modification of Pitman estimates for a location parameter
    
    Teor. Veroyatnost. i Primenen., 30:3 (1985),  562–566
12. Fisher Information Contained in a Finite-Dimensional Linear Space, and a Correctly Posed Version of the Method of Moments
    
    Probl. Peredachi Inf., 12:2 (1976),  20–42
13. A note on the problem of reconstructing the type of a distribution
    
    Teor. Veroyatnost. i Primenen., 21:2 (1976),  398–401
14. Estimating stability in the problem of reconstructing the additive type of a distribution
    
    Zap. Nauchn. Sem. LOMI, 61 (1976),  68–74
15. Some wide-sense analogs of characteristic properties of the normal distribution
    
    Zap. Nauchn. Sem. LOMI, 61 (1976),  59–67
16. Hilbert space methods in classical problems of mathematical statistics
    
    Zap. Nauchn. Sem. LOMI, 53 (1975),  64–100
17. Asymptotic behaviour of the polynomial Pitman estimators
    
    Zap. Nauchn. Sem. LOMI, 43 (1974),  30–39
18. Sample mean as an estimator of the location parameter in case of the Laplacian loss function, in presence of the nuisance scale parameter
    
    Zap. Nauchn. Sem. LOMI, 43 (1974),  15–29
19. Bayes formulation of the location parameter estimation problem
    
    Zap. Nauchn. Sem. LOMI, 29 (1972),  62–73
20. Families with “self-control”
    
    Dokl. Akad. Nauk SSSR, 199:4 (1971),  766–769
21. 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
22. Admissibility of the estimate of least squares. Unusual property of the normal law
    
    Mat. Zametki, 6:1 (1969),  81–89
23. Theory of estimation for families with shift, scale and exponential parameters
    
    Trudy Mat. Inst. Steklov., 104 (1968),  19–87
24. Conditions of optimal unbiased estimation of parametric functions for incomplete exponential families with polynomial constraints
    
    Dokl. Akad. Nauk SSSR, 175:6 (1967),  1216–1218
25. Partial sufficiency and unbiased estimation of polynomials in the shift parameter
    
    Dokl. Akad. Nauk SSSR, 174:6 (1967),  1257–1259
26. On the estimation theory of the scale parameter
    
    Teor. Veroyatnost. i Primenen., 12:4 (1967),  735–741
27. Characterization of the normal law by the property of partial sufficiency
    
    Teor. Veroyatnost. i Primenen., 12:3 (1967),  567–569
28. Incomplete Exponential Families and Unbiased Minimum Variance Estimates. I
    
    Teor. Veroyatnost. i Primenen., 12:1 (1967),  39–50
29. Sample mean as an estimate of the shift parameter
    
    Dokl. Akad. Nauk SSSR, 169:5 (1966),  1006–1008
30. The structure of a complete class of unbiased estimates for distribution families of a special form
    
    Dokl. Akad. Nauk SSSR, 164:2 (1965),  267–269
31. Questions in the theory of estimation and the testing of hypotheses
    
    Itogi Nauki. Ser. Teor. Veroyatn. 1963, 1965,  5–48
32. Remarks on separating partitions
    
    Trudy Mat. Inst. Steklov., 79 (1965),  26–31
33. Sufficient systems
    
    Trudy Mat. Inst. Steklov., 79 (1965),  17–23
34. New classes of families of distributions allowing similar regions
    
    Trudy Mat. Inst. Steklov., 79 (1965),  11–16
35. The Behrens–Fisher problem for the existence of similar regions in an algebra of sufficient statistics
    
    Dokl. Akad. Nauk SSSR, 155:6 (1964),  1250–1252
36. Families of distributions and separating partitions
    
    Dokl. Akad. Nauk SSSR, 153:3 (1963),  522–525
37. On the theory of Fischer's information quantity
    
    Dokl. Akad. Nauk SSSR, 151:2 (1963),  277–278
38. On Robbins's scheme
    
    Dokl. Akad. Nauk SSSR, 150:4 (1963),  733–735
39. On a class of measures in a sequence space
    
    Sibirsk. Mat. Zh., 4:4 (1963),  956–959
40. On an empirical Bayes approach to the problem of estimation
    
    Dokl. Akad. Nauk SSSR, 147:5 (1962),  1020–1021


41. Foreword of the editor
    
    Zap. Nauchn. Sem. LOMI, 43 (1974),  5
42. Yu. V. Linnik “Statistical problems with nuisance parameters” (book review)
    
    Teor. Veroyatnost. i Primenen., 13:1 (1968),  196–197