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1982, Volume 119  

| General information | Contents |


Problems of the theory of probability distributions. Part VII


Moderate deviations for densities in $\mathbb R^k$
N. N. Amosova, W. Richter
7–13
On compact sets of additive measures
S. G. Bobkov
14–18
On distribution of integrable type functionals of Brownian motion
A. N. Borodin
19–38
Occupation times for countable Markov chains. I. Chains with discrete time.
S. S. Vallander
39–61
Local limit theorems for linear generated random vectors
V. V. Gorodestkii
62–76
On the Gram–de Finetti matrices
L. N. Dovbysh, V. N. Sudakov
77–86
On connection berween the law of large numbers for squares and the law of iterated logarithm
V. A. Egorov
87–92
On application of concentration inunctions to estimation of uniform distance between distributions.
A. Yu. Zaitsev
93–107
Estimates for the Levy-Prohorov distance in terms of characteristic functions and some applications of them.
A. Yu. Zaitsev
108–127
Behavior of the oscillation function and conditional Gaussian distributions of linear funotionals
Yu. Ch. Kokayev
128–143
The uniqueness theorem for measures in $C(K)$ and its application in the theory of stochastic processes.
A. L. Koldobskii
144–153
The absolute continuity of the functional “supremum” type for Gaussian processes.
M. A. Lifshits
154–166
Distribution of functionals on finitedimensional spaces and distributions of Gaussian sample functions.
S. B. Makarova
167–173
Stability of the sufficiency property of the statisties “the value in the final moment” for the processes with independent increments
Nguyen Kong Shi
174–176
Some limit theorems for ordered spacings
V. B. Nevzorov
177–180
Bahadur efficiency of integral type of symmetry
Ya. Yu. Nikitin
181–194
On taking into consideration the effect of ties in the two-samples Wilcoxon test
M. S. Nikulin, I. S. Yusas
195–197
Sequences of $m$-orthogonal random variables
V. V. Petrov
198–202
Gaussian $f$-regular processes and asymptotic behavior of likelihood function
V. N. Solev
203–217
Central limit theorem: convergence in the norm $\|u\|=\bigl(\int_{-\infty}^\infty u^2(x)e^{\frac{x^2}2}\,dx\bigr)$
S. V. Fomin
218–229
Outleading sequences and continuous semi-Markov processes on the line.
B. P. Harlamov
230–236
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