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information is implemented in terms of the exponential prior distribution. The estimation procedures

of mean value estimation for a normal distribution with prior knowledge of its randomness and extreme

by the neural networks the parameters of a prior (normal-gamma distribution) for these unknown mean and variance

is positive and very small. These data are obtained by using a prior exponential distribution with a large

Consideration was given to the multiserver queuing system with recurrent arrivals, exponential

to obey the exponential law, whereas the waiting-time distributions (i.e., distributions of inter

An open exponential queueing network with negative requests (G-network) is considered. A set

the a priori distribution is completely unknown. For a scalar parameter of a discrete exponential family

to obey the exponential law, whereas the waiting-time distributions (i.e., distributions of inter

The open exponential queuing network with negative customers (G-network) was considered. For each

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