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1961, Volume 6, Issue 1  


Continuity Conditions for Stochastic Processes
L. V. Seregin
3–30
Transient Phenomena in Branching Stochastic Processes
V. P. Chistyakov
31–46
Construction of Non-Homogeneous Markov Processes by Means of a Random Substitution of Time
V. A. Volkonskii
47–56
A New Limit Theorem for Stochastic Processes with Gaussian Increments
E. G. Gladyshev
57–66
More Exact Statement of Limit Theorems for Homogeneous Markov Chains
S. V. Nagaev
67–86

Short Communications
Some Results Associated with Bochner's Theorem
Yu. V. Prokhorov, V. V. Sazonov
87–93
On the Dispersion of Time-Dependent Means of a Stationary Stochastic Process
V. P. Leonov
93–101
An Example of a Process with Mixing
Yu. K. Belyaev
101–103
On Evaluating the Concentration Functions
B. A. Rogozin
103–105
On the Increase of Dispersion of Sums of Independent Random Variables
B. A. Rogozin
106–108
Local Theorems and Moments for Maxima of Sums of Bounded Lattice Components
A. A. Borovkov
108–110
Finite Continuous Time Markov Chains
J. G. Kemeny, J. L. Snell
110–115
Continuation of Conditional Probabilities
N. N. Vorob'ev, D. K. Faddeev
116–118
On Limit Distributions of Sums of Conditionally Independent Random Variables
R. Z. Khas'minskii
119–125
Les mesures aléatoires invariantes sur la sphére
V. N. Tutubalin
125–130
Evaluation of the One-Dimensional Probability Densities and Moments of a Random Process in the Output of an Essentially Non-Linear System
È. M. Khazen
130–138
Nomograms for Probability Functions $\chi^2$
S. V. Smirnov, M. K. Potapov
138–140

Information on the Sixth Conference on the Theory of Probability and Mathematical Statistics
140–144
Теория вероятностей и ее применения Theory of Probability and its Applications
 
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