Sentence examples for visualization estimate from inspiring English sources

This revealed that the association between distance from the center of the hurricane and change in intensity judgment is different from zero for each visualization (cone visualization: Estimate = −0.02, SE = 0.01, χ2 = 64.74, P < 0.001; ensemble visualization: Estimate = −0.04, SE = 0.004, χ2 = 10.74, P = 0.001) and stronger for the ensemble visualization (χ2 = 101.89, P < 0.001).

The DSS comprises an information management system that performs data collection, verification, management, and visualization, and models estimated crop water demand and water allocation for different levels of water use units.

Using the obtained parameter estimates, a visualization of ca. 750 polymer chains is performed via advanced kinetic Monte Carlo simulations, explicitly specifying, for the first time, according to the living nature, and chain initiation and dead polymer mechanism.

The clusters, as critical data characteristics for modeling multiple system conditions, are first estimated by "visualization" on the dissimilarity spectrum from spectral analysis and then evaluated in terms of their fitness and separation with each others.

Time slicer supplements the visualization of geographic locations estimated using continuous diffusion by summarizing the rate and degree of geographical movement over the complete posterior distribution of trees.

This method of acoustic visualization can be used to estimate the effects of architectural design components on the directionality of sounds in rooms.

The thickness of the asphaltene deposit is estimated using a visualization technique based on 3D digital microscopy.

As stated previously the DL C&L view remains unknown as it was never performed, and can not be estimated from the visualization findings of a different device.

Although straightforward and convenient, the age at adiposity rebound estimated by simple visualization is quite arbitrary, especially for children with a flat valley around the nadir, and thus subject to large inter-observer variation.

Then GIS tools were used to 1) empirically test for spatial dependency in HIV prevalence nationally, 2) produce a continuous surface of HIV prevalence at 1 × 1 km spatial resolution for visualization and generation of prevalence estimates at district level for cluster/hotspot and regression analysis.

Beyond data visualization and computation of protein concentration estimates, the analysis comprises additional features introduced below.