Complete convergence of weighted sums in Banach spaces and the bootstrap meanLet {Xni, 1 ≤ i ≤ kn, n ≥ 1} be an array of rowwise independent
random elements taking values in a
Операторы Штурма-Лиувилля с $W^{-1,1}$-матричными потенциалами, if the minimal Schrödinger operator $\mathbf{H}$ on the line with potential matrix $Q( \cdot )=Q_1( \cdot )+\
sum Ergodic properties of sets defined by the frequencies of digitsLet ξ1,ξ2,. . . be a
random sequence of r-ary digits, r ∈ N\{1}, connected into an ergodic Markov
On Non-parametric Models of Multidimensional Non-inertial Processes with Dependent input Variables. Such processes have "tubular" structure in the space of the input and output
variables. In this situation methods
Fluctuation-noise spectroscopy and a "universal" fitting function of amplitudes of random sequences (Physica A 285 (2000) 547) to accurately describe the
distribution of ordered amplitudes within
random