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An application of the Ryll-Nardzewski-Woyczyński theorem to a uniform weak law for tail series of weighted sums of random elements in Banach spaces independent) with the series ∑n=1 ∞Vn converging unconditionally in probability and an infinite array a

Convergence bounds for limited processor sharing queue with impatience for analyzing non-stationary file transfer in wireless network is used. Formulas are given for the main characteristics of the model: the probability of blocking a new

On the rate of complete convergence for weighted sums of arrays of banach space valued random elements extend and generalize the complete convergence results of Pruitt [J. Math. Mech., 15 (1966), pp. 769

A mean convergence theorem and weak law for arrays of random elements in martingale type p Banach spaces≤j≤kn,n≥ 1} are suitable conditional expectations, a mean convergence theorem and a general weak law

An application of the Ryll-Nardzewski-Woyczyński theorem to a uniform weak law for tail series of weighted sums of random elements in Banach spaces independent) with the series ∑n=1 ∞Vn converging unconditionally in probability and an infinite array a

The probability of correcting errors by an antinoise coding method when the number of errors belongs to a random set probabilities. We prove that under certain moment conditions probabilities P(A) converge almost sure as n and N

On the rate of complete convergence for weighted sums of arrays of banach space valued random elements extend and generalize the complete convergence results of Pruitt [J. Math. Mech., 15 (1966), pp. 769

A mean convergence theorem and weak law for arrays of random elements in martingale type p Banach spaces≤j≤kn,n≥ 1} are suitable conditional expectations, a mean convergence theorem and a general weak law

The probability of correcting errors by an antinoise coding method when the number of errors belongs to a random set probabilities. We prove that under certain moment conditions probabilities P(A) converge almost sure as n and N

On the convergence in law of almost all sums of independent random variables on some probability space which are multiplied by random coefficients. These coefficients are the values

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