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The sample size approximation was based on an inter-rater reliability estimate for the DEMMI of r = 0.87 between two physiotherapist in the sub-acute hospital setting found by others [ 25].
Our simple approximation was based on an application [ 18] of a Bernoulli model of HIV transmission which found that the relationship between increased condom usage and HIV risk reduction is essentially linear for most heterosexuals at risk for HIV.
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This approximation is based on the observation that one could use a function g (u) to approximate an asymptotic function g∞ via g ∞ = lim s → 0 g s z : = sg s − 1 z.
For these schemes, we first introduce a B-spline hypervolume to approximate an objective function defined in a design space, where the approximation is based on Latin-hypercube sampling points.
This approximation is based on a Taylor series approach.
The proposed approximation is based on the extreme value theory of multivariable functions [24].
This approximation is based on the fact that and in practice.
The finite element approximation is based on the optimality conditions, which are also derived.
The approximation is based on finding small local designs for independent prediction at particular inputs.
The essence of the supercell approximation is based on this fact.
The convex approximation is based on the following lower bound: log_{2}left(1+text{SINR}right)geq alphalog_{2}text{SINR} + beta, (10).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com