Sentence examples for space estimated from inspiring English sources

Matching lists with the real estate, entertainment and development industries, officials from various city agencies and business groups are trying to replace the roughly 20 million square feet of commercial space estimated to be lost in the disaster.

Event planners familiar with the space estimated that a wedding there would cost anywhere from $200 to $800 a person, depending on food and drink choices that did not even include well-known chefs.

In this study, a resampling method with replacement was applied to evaluate the reliability of border on the design space estimated by RSM-S.

Furthermore, the proxemic rule about the personal space estimated by face orientation was also preserved because of a smaller overlapping region during avoidance.

Fig. 10 Plots of eigenvectors for the principal axes in space, estimated from the source time functions of the six moment tensor components shown in Fig. 8. Red, green, and blue lines indicate eigenvectors corresponding to M1, M2, and M3, respectively.

By 2006, developers were producing fewer games in this space, estimated at half the number seen in 2005.

Forward Insights analyst Greg Wong, who follows the PCM space, estimates the market for PCM revenues to be around $500 million in in 2013.

Kernel density activity centres for C. melanopterus and C. amblyrhynchos were largely outside the MPA and mean activity space estimates for adults were 12.8 km2 (±3.12 SE) and 19.6 km2 (±2.26), respectively.

Building on Lp and Hardy space estimates established in previous papers, here we establish Sobolev and Besov space estimates on solutions to the Dirichlet and Neumann problems for the Laplace operator plus a potential, on a Lipschitz domain in a Riemannian manifold with a metric tensor smooth of class C1+γ, for some γ>0.

The largest individual monthly activity space estimates in 2006 and 2007 were 22.5 and 23.8 km, respectively, suggesting occasional use of nearly the entire study area within a month.

Both likelihood and Bayesian are general statistical frameworks, with high-level decision criteria (the Akaike Information Criterion, or AIC [ 35] and Bayesian Information Criterion, or BIC [ 36], respectively: see also [ 37]) and associated apparatus for e.g. examining solution space, estimating support, and assessing stability to stochastic error.