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Information inequalities for characteristics of group-sequential test with groups of observations of random size
Novikov A., Novikov P.
: At each stage a random number of independent identically distributed observations (a group of observations
Information inequalities for characteristics of group-sequential test with groups of observations of random size
Novikov A., Novikov P.
: At each stage a random number of independent identically distributed observations (a group of observations
Locally Most Powerful Group-Sequential Tests with Groups of Observations of Random Size: Finite Horizon
which are received in groups of random size. The observations are supposed independent both within
First results of the double-blind randomized placebo-controlled multicenter clinical trial of DIM-based therapy designed as personalized approach to reverse prostatic intraepithelial neoplasia (PIN)
Paltsev M., Kiselev V., Drukh V., Muyzhnek E., Kuznetsov I., Andrianova E., Baranovskiy P.
-Whitney test). In 45.5 % of patients in the Infemin group, a complete regression of PIN was also observed
A central limit theorem for random fields
Fazekas I., Chuprunov A.
the random field is observed become more and more dense in an increasing sequence of domains. The central
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
Critical behavior of the random Potts model
Khasanov B., Belov S., Tayurskii D.
The phase transition in the continual random n-component Potts model is studied
Succinate-Based Dietary Supplement for Menopausal Symptoms: A Pooled Analysis of Two Identical Randomized, Double-Blind, Placebo-Controlled Clinical Trials
Radzinsky V.E., Uspenskaya Y., Shulman L.P., Kuznetsova I.V.
) in symptomatic menopausal women using a larger sample size derived by pooling data from two identical trials
Asymptotic normality of kernel type density estimators for random fields
Fazekas I., Chuprunov A.
Kernel type density estimators are studied for random fields. It is proved that the estimators
Unitary representation of walks along random vector fields and the Kolmogorov–Fokker–Planck equation in a Hilbert space
Busovikov V.M., Orlov Yu.N., Sakbaev V.Zh.
group of symplectomorphisms. The obtained representation of random flows allows applying the Chernoff

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