Sentence examples for be viewed as random from inspiring English sources

In one-dimensional warranty policies, remanufactured item failures can be viewed as random points occurring over a one-dimensional horizon.

On the other hand, to deal with insufficient information and opinion difference in group decision-making processes, pairwise comparison elements were suggested to be viewed as random variables and computed via Monte Carlo simulation by Rosenbloom [16], Eskandari and Rabelo [20] and Jing et al. [21].

Although stochastic processes can be viewed as random variables (on appropriate spaces), and vice versa - random variables can be treated as particular cases of processes it is convenient, and in some instances necessary, to treat these two cases separately the road we are taking in this paper.

Genetic and environmental stimuli can be viewed as random attacks to genetic and molecular networks.

While proteins seem to be rather tolerant to indels in loops compared to core structure elements, protein loops can not be viewed as "random coils" and indels are under constant evolutionary pressure [ 16].

Our results indicate that even longer protein loops can not be viewed as "random coils" and for the majority of protein families in our test set there exists a linear correlation between the measures of sequence similarity and loop structural similarity.

For example, suppose that there are S half-sib families that can be viewed as drawn as random from some population and that we are interested in modeling association between pairs of allelic frequencies stemming from such sampling scheme.

Although tumor location is viewed as random, the statistics of the anatomical location of tumors in organs such as the breasts, lungs, colon and fallopian tubes/ovaries indicate a preference for some anatomical regions over others.

In stochastic bilevel programming problems [19], the coefficients are viewed as random variables with known probability distributions; whereas in fuzzy bilevel programming problems [20, 21], the coefficients are regarded as fuzzy sets with known membership functions.

Scores are being viewed as random variables, where each variable is modeling the event that some given domain pair will interact.

Therefore, here we present a simple derivation that is consistent with models used in GS (Equation 2) where marker genotypes are regarded as fixed and marker effects are viewed as random IID variables.