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In the first category, the inputs that include both random variables and interval variables are considered.
The technique is used for both random variables and random fields.
SIMLAB can provide probabilistic failure prediction of a structural system characterized by both random variables and random processes.
Hybrid reliability analysis of motion mechanism, in which the inputs contain both random variables and interval variables, is investigated in this paper.
In the following discussions, x, ({omega }_{j}), and (mathbf{x}_{l}) denote both random variables and their instantiations.
In the dynamic setup, both discrete and continuous time evolutions have been studied, for both random variables and stochastic processes as the inputs.
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This concept may be regard as an extension of both random variable and fuzzy variable.
The notation p ˆ = ( 3, 3 ) means that we use a polynomial approximation of degree 3 in both random variables a 0 and K I c.
We preserve the same names for various types of time consistency for both the random variables and the stochastic processes.
In this case, both x j and Y j are random variables, but for notational simplicity in this work l k, Y j and x j denote both the random variables and the values they may assume.
In the third category, the inputs that include both random variables with interval distribution parameters, and interval variables are considered.
More suggestions(16)
both random distributions and
both random losses and
both conflicted variables and
both observational variables and
both cyclical variables and
both spatiotemporal variables and
both independent variables and
both discrete variables and
both manipulated variables and
both meteorological variables and
both objective variables and
both random intercepts and
both real variables and
both explanatory variables and
both environmental variables and
both demographic variables and
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