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Zapiski Nauchnykh Seminarov POMI
Tome 43 (1974)
Précédent
Suivant
Statistical estimation theory. Part I
Foreword of the editor
A. M. Kagan
Similar zones in the problem of compar in the location parameters of two exponential distributions with unknown variances
Yu. V. Borovskikh
p. 6-14
Sample mean as an estimator of the location parameter in case of the Laplacian loss function, in presence of the nuisance scale parameter
A. A. Zinger
;
A. M. Kagan
p. 15-29
Asymptotic behaviour of the polynomial Pitman estimators
A. M. Kagan
;
L. B. Klebanov
;
S. M. Fintushal
p. 30-39
Unbiased estimators and convex loss functions
L. B. Klebanov
p. 40-52
On characterization of the normal and Gamma distributions by properties of Fisher information
L. B. Klebanov
;
I. A. Melamed
p. 53-58
Strongly symmetric families and statistical analysis of their parameters
A. L. Rukhin
p. 59-87
On asymptotic optimality of the binomial fixed size sample plans within the class of plans with bounded sample wize mean value
P. N. Sapozhnikov
p. 88-93
Effective sequential estimation for the exponential families of rank~I
D. D. Scrjabin
p. 94-106
Exact distributions of certain goodness of fit criteria and their complete asymptotic expansions
Yu. V. Borovskikh
p. 107-132
Complete asymptotic expansions of distributions of nonparametric criteria based on random size samples
Yu. V. Borovskikh
p. 133-154
Unbiased estimators of the Neumann series by Monte-Carlo method
S. M. Ermakov
;
P. G. Skvortzov
p. 155-168