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Informatics and Automation
Tome 104 (1968)
Précédent
Suivant
Исследования по математической статистике
On the theory of the general linear hypothesis with unknown weights
I. S. Dobrokhotov
p. 3-18
Theory of estimation for families with shift, scale and exponential parameters
A. M. Kagan
p. 19-87
Limit properties of probability distributions
V. M. Kalinin
p. 88-134
Nonlinear filtration of diffusion Markov processes
R. Sh. Liptser
;
A. N. Shiryaev
p. 135-180
Families of transition densities in Markov chains which allow non-trivial sufficient statistics
N. M. Mitrofanova
p. 181-188
Equalization of observations with unknown weights by the method of least squares
O. V. Shalaevskii
p. 189-214
Errata