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 Teor. Veroyatnost. i Primenen.: Year: Volume: Issue: Page: Find

 Continuity Conditions for Stochastic ProcessesL. V. Seregin 3 Transient Phenomena in Branching Stochastic ProcessesV. P. Chistyakov 31 Construction of Non-Homogeneous Markov Processes by Means of a Random Substitution of TimeV. A. Volkonskii 47 A New Limit Theorem for Stochastic Processes with Gaussian IncrementsE. G. Gladyshev 57 More Exact Statement of Limit Theorems for Homogeneous Markov ChainsS. V. Nagaev 67 Short Communications Some Results Associated with Bochner's TheoremYu. V. Prokhorov, V. V. Sazonov 87 On the Dispersion of Time-Dependent Means of a Stationary Stochastic ProcessV. P. Leonov 93 An Example of a Process with MixingYu. K. Belyaev 101 On Evaluating the Concentration FunctionsB. A. Rogozin 103 On the Increase of Dispersion of Sums of Independent Random VariablesB. A. Rogozin 106 Local Theorems and Moments for Maxima of Sums of Bounded Lattice ComponentsA. A. Borovkov 108 Finite Continuous Time Markov ChainsJ. G. Kemeny, J. L. Snell 110 Continuation of Conditional ProbabilitiesN. N. Vorob'ev, D. K. Faddeev 116 On Limit Distributions of Sums of Conditionally Independent Random VariablesR. Z. Khas'minskii 119 Les mesures aléatoires invariantes sur la sphéreV. N. Tutubalin 125 Evaluation of the One-Dimensional Probability Densities and Moments of a Random Process in the Output of an Essentially Non-Linear SystemÈ. M. Khazen 130 Nomograms for Probability Functions $\chi^2$S. V. Smirnov, M. K. Potapov 138 Information on the Sixth Conference on the Theory of Probability and Mathematical Statistics 140