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1987, Volume 158  
| General information | Contents |


Problems of the theory of probability distributions. Part X


Upper functions and oscillating Gaussian processes
S. G. Bobkov 		5–13
Weak invariance principles,for local times
A. N. Borodin 		14–31
Local limit theorems for functionals in the conditional invariance principle
P. Breier 		32–38
Occupation times for countable Markov chains. IV. Chains on a general tree
S. S. Vallander 		39–44
On a rate of convergence of empirical measures
V. V. Volchaninov 		45–48
Some remarks on application of chi-squared test
P. Grinvud, M. S. Nikulin 		49–71
The law of iterated logarithm for quadratic variations
V. A. Egorov 		72–80
A generalisation of the triangle functions method
A. Yu. Zaitsev 		81–104
Distribution density of the norm of a stable vector
M. A. Lifshits 		105–114
Joint distributions of random linear functionals
S. B. Makarova 		115–121
Random processes generated by independent variables and the strong convergence of functionals
G. V. Martynova 		122–126
Random elements in the Orticz spaces
A. E. Mikhailov 		127–132
Distributions of $K$-th records in a discrete case.
V. B. Nevzorov 		133–137
Bahadur efficiency of the Watson–Darling goodness-of-fit tests
Ya. Yu. Nikitin 		138–145
Translation invariant measures and convex bodies
G. Yu. Panina 		146–157
On convergence of series of independent random variables
V. V. Petrov 		158–160
Conditions of smoothness of density for $L_p$-norm distribution of Gaussian random vector
N. V. Smorodina 		161–166
Monotonity of the mean distance for empirical Gaussian samples
V. N. Sudakov 		167–168
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