Sentence examples for spillover model from inspiring English sources

Based on our parameter estimates (Table 2), the spillover model provided a good fit to the pathogen prevalences that we observed in the field.

In order to compare the seasonal prevalence of C. bombi observed near greenhouses with that expected based on our spillover model, we must match our collecting dates with the appropriate time points in the numerical simulation of equations (1)–(3).

In the Cu/ZnO literature, seemingly incompatible model interpretations can be found, involving the "metallic copper model", 7 the "special site model", 8 the "morphology model", 7, 9 the "spillover model", 10 and last but not least the "Cu-Zn alloy model".

Secondly, most knowledge spillover models measure the effects of knowledge input variables (e.g. R&D investments, mobility of labour, local labour market structure) in terms of innovation, productivity, growth or entrepreneurship and tend to pay too little attention on the exact spillover mechanism.

Similar to the VAR model, spillover effects of volatility from one market to another market are measured in the BEKK model over the off-diagonal elements of A and G. Transmission in the conditional mean equation is tested via the off-diagonal elements ϕ ij,l of the parameter matrices Φ l, l = 1 … p.

Pathogen prevalences near greenhouses are generally consistent with our model of spillover, which predicts C. bombi invasion of wild bee populations under a range of assumptions about the dynamics of transmission.

This threshold behavior (also noted in a model of spillover from transgenic crops with simpler genetic structure; Haygood et al. 2003) indicates the importance of both the demographic and genetic factors affecting the wild populations.

For stochastic simulations with variable or pulsed spillover, we run the model for double the time and present the 1st, 25th, 50th, 75th, and 99th percentiles of the distribution of each metric for the second half of 50 independent simulations to capture the full distribution at quasi-equilibrium.

As one of the mainstream models for estimating spillover effects between financial markets, the ARCH model has been widely used and extended.

We constructed a spatially explicit model of pathogen spillover in bumble bees and, using laboratory experiments and the literature, estimated parameter values for the spillover of Crithidia bombi, a destructive pathogen commonly found in commercial Bombus.

Estimates from the spatial model reveal spatial spillover effects in fleet harvest location behavior.