Sentence examples for because they estimate from inspiring English sources

Exact(7)

Although the state has the authority over the hunt, the advocates appealed to national park officials because they estimate that more than a quarter of the land where the hunt would be conducted is in the water gap recreation area.

Taper functions provide advantages to merchantable volume equations because they estimate diameter inside or outside bark (dib or dob) at specific heights on the stem, enabling the estimation of total and merchantable stem volume, volume of individual logs (Kozak 1988), and a height at a given diameter (Li et al. 2012).

In the existing methods, random sample consensus (RANSAC -based methods can apply to spaRANSAC -baseduds because they estimethodsimitives by initially picanng applyimal group of pointo for each sparseand detecting the one that apointimates the maximum number of points [8].

Taper functions provide advantages to merchantable volume equations because they estimate diameter inside or outside bark at specific heights on the stem, enabling the estimation of total and merchantable stem volume, volume of individual logs, and a height at a given diameter.

The other type of coalescent-based method are called "summary methods" because they estimate species trees by combining estimated gene trees.

Permutation tests lack the standard parametric assumptions because they estimate p-values from distributions generated via Monte Carlo re-sampling of the data.

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Similar(53)

Moreover, estimated returns in PIAAC round 2 countries are not precisely comparable to those reported in Hanushek et al. (2017b) because they estimated the skill gradient using age instead of actual labor market experience.

PricewaterhouseCoopers, on the other hand, is going to start offering $100 per month for up to six years, for a total benefit of $7,200 (because of reduced interest, they estimate the true value to be around $10,000).

Most available software programmes for automatic cell counting are not applicable in vivo because they either estimate cell mass (e.g. FACS based), or apply image processing and pattern recognition in 2D (e.g. Metamorph).

These statistics are more natural choices for randomised trials because they explicitly estimate and contrast effects of interest namely, event rates in the active and placebo arms.

For our specific application, generalized linear models and GEE are useful because they naturally estimate marginal parameters and require investigators to make fewer assumptions about the data generating distribution during parameter estimation than mixed effects models [ 39].

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