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A probabilistic inequality for sums of bounded symmetric independent random variables
Mushtari D.
A probabilistic inequality for sums of bounded symmetric independent random variables
Experimental study of performance and security constraints on wireless key distribution using random phase of multipath radio signal
Sulimov A., Smolyakov A., Karpov A., Sherstyukov O.
to measurements digitizing of any observable random variable. Experimental study of spatial correlation
Transfer theorems concerning asymptotic expansions for the distribution functions of statistics based on samples with random sizes
Bening V.E.
statistic admitting Edgeworth expansion if the sample size is replaced by a random variable.We demonstrate
Modeling of the natural vertically directed body waves generation processes in geological media
Kamilov M., Rizhov V., Birialtsev E., Berezhnoj D.
of the section as a set of layers consisting of elements with a random Poisson's ratio is observed a natural
Statistical description of nonunimodality phenomena of electric brekdown voltages distribution of polymer coatings
Virchenko, Yu. P., Novoseltsev, A. D.
independent random variables
On the analysis of a resource loss system with the waiting buffer
Daraseliya A.V., Sopin E.S.
buffer and the single type of resources. A customer accepted for servicing occupies a random amount
Random Hilbert space and Wiener’s interpretation of quantum mechanics
Rybakov Yu.P.
being considered as Gaussian random variable, i. e. the vector of the random Hilbert space
RANDOM HILBERT SPACE, EINSTEIN'S PROGRAM AND WIENER'S INTERPRETATION OF QUANTUM MECHANICS
Rybakov Yu.P.
being considered as Gaussian random variable, i. e. the vector of the random Hilbert space
Construction of Szeg˝o and Poisson Kernels in Convex Domains
Myslivets, Simona G., Мысливец, Симона Г.
In this paper, we construct Szeg˝o and Poisson kernels in convex domains in Cn and study
IDENTIFICATION PARAMETER FUZZY RANDOM DATA
Mochalov I.A., Khrisat M.S.
with unclear parameters. For example, a one-dimensional fuzzy random variable y_H has a normal density

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