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1992, Volume 194
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General information
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Contents
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Problems of the theory of probability distributions. Part 12
Preface
V. N. Sudakov
7
Tables of the distributions of the functionals of Brownian motion
P. E. Baskakova, A. N. Borodin
8–20
On conditions of Bahadur local optimality of weighted Kolmogorov–Smirnov statistics
Ya. E. Benson, Ya. Yu. Nikitin
21–27
Logarithmically concave measures and random processes linearly generated by independent variables
S. G. Bobkov
28–29
On distribution of functionals of Brownian motion, stopped at the moment inverse to local time
A. N. Borodin, S. A. Samsonova
30–43
Isomorphic subalgebras of probability Boolean algebras
D. A. Vladimirov
44–47
Convergence on variation of one-dimensional image-measures
Yu. A. Davydov
48–58
On evaluation of statistics of chi-square type tests
K. O. Dzhaparidze, M. S. Nikulin
59–78
Approximation of convolutions of probability distributions by infinitely divisible laws under weakened moment restrictions
A. Yu. Zaitsev
79–90
Remarks on variations of random fields
I. A. Ibragimov
91–97
The Fourier transform and convolution in the space
$l_\infty$
A. L. Koldobskiy
98–105
Asymptotics of Gaussian large deviations on smooth seminorm
M. A. Lifshits
106–113
Remark on the strong law of large numbers for sums of pairwise independent random variables
A. I. Martikaynen
114–118
On oscillation function for Gaussian random processes
A. Ye. Mikhailov
119–123
On record times in sequences of non-identically distributed discrete random variables
V. B. Nevzorov, M. Ranen
124–133
On the law of the iterated logarithm for a sequence of independent random variables
V. V. Petrov
134–137
More about convergence rate in the weak law of large numbers
L. V. Rozovsky
138–140
On a condition of local regularity
V. N. Solev
141–149
Remarks on modifications of random processes
V. N. Sudakov
150–169
On absolute continuity of the spectrum of random orthogonal on the circle polynoms and their continual versions
A. V. Teplyaev
170–173
On the rate of convergence in the CLT for sequences of weakly dependent Hilbert valued random variables
A. N. Tikhomirov
174–175
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