An exponential inequality and strong limit theorems for conditional expectations independent
random variables is obtained. This inequality is applied to prove analogues of the Law
Some patterns of spatial-ontogenetic structure in populations of tuber orchids with
random spatial
distribution and
continuous bounds. Aggregations of higher level are not formed under
Numerical conditioning of neural network components in time series forecasting with unbiased normally
distributed random variables with various variance. Such training results as number
Analysis of a wireless sensor node with varying rates of energy harvesting and consumption is considered. It is reduced to analysis of the stationary
distribution of a single-server queueing system
Queueing net with random delay signals of usual (positive) demands.
Random time is required for activation of a signal entering a node
A sequential d-guaranteed test for distinguishing two interval hypotheses of a normal
distribution N(θ, σ2). Unknown value θ is a realization of the
random variable ϑ with a
A central limit theorem for random fields normal
distribution can be a combination of those of the
continuous parameter and the discrete parameter
A Method of Generating Random Vectors with a Given Probability Density FunctionWe propose a method for generating
random independent vectors that have a given
continuous Asymptotic normality of kernel type density estimators for random fields distribution can be a combination of those of the
continuous parameter and the discrete parameter cases
Secure key distribution based on meteor burst communicationsThe paper discusses possibility of secure encryption keys
distribution based on stochastic