Sentence examples for population approximations from inspiring English sources

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Compartmental models are continuous or large population approximations to stochastic agent-based models in which the length of time that agents spend in a state is exponentially distributed.

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In contrast, Schmandt and Galán [14] introduced stochastic shielding in the broader context of density dependent random walks on a graph from which our OU process arises as a large population approximation.

This is an infinite-population approximation.

This SRL tests all isolates for 6 classes of second-line drugs; thus, data from the Republic of Korea reflect most culture-positive cases and provide a close approximation to a population estimate of prevalence.

The above linker lengths distributions derived from yeast cell populations are approximations of the unknown true linker lengths distribution in yeast.

In a scenario where a tag SNP captures the causal variant in a consistent manner across multiple populations, this approximation would not be expected to change the result.

The results on both the Greenish warbler (a ring species) data set [3], [22] and a simulated data set with a spatially correlated population give better approximations to the true population structure than does PCA.

The Bayesian coalescent method was conducted using OmegaMap v0.5 [ 21] which implements a population genetics likelihood approximation to the coalescent to infer recombination and estimate ω.

Therefore, while the expression for the fixation probability (Equation 1) holds for any population size, the approximation for fitness (Equation 4) takes into account only the first-order effects of finite population size on offspring means and variances.

This population represents an approximation of the U.S. population with respect to demographic characteristics such as age, gender, race, and urban residence, as well as health indicators such as population density and percentage of persons at or below the poverty level (7 ).

Specifically, we initially discuss control methods for particulate processes which utilize suitable approximations of population balance models to design nonlinear, robust and predictive control systems and demonstrate their application to crystallization and aerosol processes.

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