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"Can you please give us the response and refusal rates for your most recent national poll?": A representative for YouGov wrote, "A reasonable approximation for the response rate on the Economist wave of August 4-6 would be 43%.
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This paper proposes an iterative RSM framework, where Gaussian process (GP) regression models are applied for the approximation of the response surface.
By assuming a simple dipole approximation for the plasmonic response of small metallic nanoparticles, we derive close-form analytical expressions for the overall absorption enhancement and Raman scattering enhancement expected in the material filling the space around them.
We employ a linear elastic description for tendon behaviour, and it is therefore necessary to ensure this is an appropriate approximation for the tissue response within the range of deformation we apply to our model.
Because biological systems often follow a log-normal distribution, we apply a log-normal transformation to the response to improve the normal approximation used in the estimation approaches for the response PDF (Sections 2.4 and 2.4.1).
A closed-form analytical approximation is derived for the response transition probability density function (PDF) of a certain class of stochastic differential equations with constant drift and nonlinear diffusion coefficients.
In this paper, we derive the first closed-form solutions and approximations for the mean response time and mean power consumption in server farms with setup costs.
An important step in response surface modeling is to define an appropriate approximation for the actual relationship between the response and the set of independent variables [10].
In this paper, a decoupling approximation for dynamic response analysis of the vertically mixed structure is proposed.
We describe ridge approximation for fitting response surfaces in several variables.
As a first-order approximation for the temporal variations of neural responses to startle stimuli, namely rising time, maximum amplitude and decay time, we split the sampling 1 second time intervals into 2 bins of 500 ms width, and we used the spike counts in each bin as an estimate for the neural population activity.
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