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1956, Volume 1, Issue 4  

Central Limit Theorem for Nonstationary Markov Chains. II
R. L. Dobrushin 		365–425
Two uniform limit theorems for sums of independent random variables
A. N. Kolmogorov 		426–436
Sequential Bayes Solutions and Optimal Methods of Statistical Acceptance Control
V. S. Mikhalevič 		437–465
Determining the probability distribution by a statistics distribution
Yu. V. Linnik 		466–478

Short Communications
A Remark on Cramer’s Theorem on the Decomposition of the Normal Law
Yu. V. Linnik 		479–480
An Example of a Countable Homogeneous Markov Process All States of which are Transient
R. L. Dobrushin 		481–485
A Theorem in the Theory of Infinitely Divisible Laws
I. A. Ibragimov 		485–489
Теория вероятностей и ее применения Theory of Probability and its Applications
 
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