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Convergence of random step lines to Ornstein-Uhlenbeck-type processes distributed random variables multiplied by independent indicators. These processes describe some models

The distribution density of square value probabilities functionality from trajectories of wiener process for composite functions of square values in Gaussian casual process trajectories. Calculating distribution

Probability distributions unimodality of nite sample extremes of independent Erlang random variablesThe theory of probability distributions of extremes of random variables samples and the theory

Kolmogorov goodness-of-fit test for S-symmetric distributions in climate and weather modeling function of a continuous random variable, e.g., a precipitation level, wind force, etc. In this paper

Construction of Measure by Given ProjectionsIn the paper the general form of absolutely continuous with respect to the Lebesgue measure charges

Probability Distribution Functions of the Sum of Squares of Random Variables in the Non-zero Mathematical ExpectationsThe article concluded probability distribution functions sum of the squares of the random variables

Weak convergence of random polygonal lines to a Gaussian processWe obtain a limit theorem of convergence in distribution for random polygonal lines defined by sums

Вероятностный прием преобразования кратных интегралов к интегралам меньшей размерности continuous probability distribution is possible. This representation allows us to use the probability concept

On Complete Convergence of the Sum of a Random Number of Stable Type P Random ElementsComplete convergence for randomly indexed normalized sums of random elements of the form [Formula

Limit Theorems for Number of Particles from a Fixed Set of Cells of freedom, sums of these random variables which centered and normalized converge in distribution to a

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