Geodesic

Tome 24 (1979) no. 4

Sommaire

Rough limit theorems on large deviations for Markov stochastic processes.~III
p. 673-691
Limit theorems for identically distributed summands assuming the convergence of the distribution functions on a~half axis
p. 692-709
The sum and the order statistics of independent random variables
p. 710-727
The central limit theorem for random determinants
p. 728-740
On conditions for the moments of the number of zeros of Gaussian stationary processes to be finite
p. 741-753
Some limit theorems for the processes with random time
p. 754-770
On the coincidence of $\sigma$-algebras in the filtration problem for diffusion processes
p. 771-780
On the rate of convergence in the central limit theorem for $m$-dependent random variables
p. 781-794
Sur le th\'eor\`eme des trois s\'eries de Kolmogorov et la convergence en moyenne quadratique des martingales dans un espace de Banach
p. 795-807
On the convergence of infinite products of independent random linear operators in a~Hilbert space
p. 808-813
On necessary and sufficient conditions for the strong law of large numbers
p. 814-820
On the conditions of the uniform integrability of the continuous nonnegative martingales
p. 821-825
On analytic distribution functions and analytic properties of infinitely divisible distribution functions
p. 825-831
Uniqueness of symmetric distribution functions defined on bounded sets and its applications
p. 831-834
Functional law of the iterated logarithm for i.\,i.\,d. random variables attracted to a~completely asymmetric stable law
p. 835-840
Probabilities of large deviations for the sums of functions of mixing sequences
p. 840-846
Markov and reciprocal stationary Gaussian processes of second order
p. 847-853
Local Markovian property of Gaussian stationary processes
p. 854-858
On the probabilities of moderate deviations for sums of independent random variables
p. 858-865
On the strong convergence of the sequence of diffusion type processes
p. 866-872
Asymptotic analysis of distributions in the problems with two boundaries.~II
p. 873-879
On the distribution of the absorption moment for semimarkov multiplication process
p. 880-885
Confidence interval for the common mean of several normal distributions
p. 885-892
The Thirteenth All-Union Colloquium on Probability Theory and Mathematical Statistics
p. 893-894
New books
p. 895-896