Current methods for calculating critical values apply two primary approximations: z-statistics assuming a large sample size, and ignorance of the contribution to the overall type I error rate from rejecting one out of the two one-sided hypotheses under a null value.
To a good first approximation, primary sequence determines structure, and in turn structure determines function.
For example, to a first approximation, the primary visual cortex (V1) has a periodic-like microstructure on the millimeter length scale, reflecting the existence of various stimulus feature maps.
However, given that antibiotic resistance can linger for up to one year [ 6], we assume our sample to be a good approximation of primary care patients.
A medical-device manufacturer used an inaccurate, but favorable, approximation in the primary endpoint analysis of a pivotal medical trial for a billion-dollar coronary stent.
Objective: We compared, in a prospective, randomized clinical trial, the subjective and objective outcomes after primary anal sphincter overlap or approximation repair of third-degree obstetric tears.
Our primary interest is the numerical approximation of this two-phase solid/fluid model, whose complexity poses numerical difficulties that cannot be efficiently addressed by existing solvers.
These results are new even for Hilbert spaces and their primary application is in the approximation of optimal constants and extremal functions for inequalities in Sobolev spaces.
The integral surface under the NDVI curve defined by the first and last minima of the year was derived and used as the approximation of net primary production (NPP; Figure 2).
Next, we applied a multi-objective model containing four conflicted objectives to optimally control the resources allocated to service stations in single-class dynamic PERT network and further used the goal attainment method to solve a discrete-time approximation of the primary multi-objective problem.
Moreover, we apply a multi-objective model containing four conflicted objectives to optimally control the consumable resources allocated to service stations in the single-class dynamic PERT network and further employ the goal attainment method to solve a discrete-time approximation of the primary multi-objective problem.
