What are the arguments for using this model (other than that it seems to work post factum, e.g., reproduce the linear slope, etc).? This model serves as a basis of approximation, so what exactly is being "approximated" in this approach, i.e., what is disregarded and what is kept?
In[14], the authors proposed tag estimation methods on the basis of approximations to the binomial distribution.
On the basis of this approximation, we compare the characteristics of GCPM and cubic phase masks (CPM).
On the basis of the approximation capability of fuzzy logic systems, we give an adaptive law and an intermediate control function.
On the basis of linear approximation of the concentration gradient, the method of probability calculation is adopted to model the transformed fraction.
This assumption holds for the nonpolar part of the solute-solvent interactions, which is complemented by a contribution that models electrostatic interactions, on the basis of the approximation that the bulk solvent behaves as a dielectric continuum.
The concentrations and the spin state of CYP3A4 were quantified on the basis of the approximation of the heme protein absorbance spectra with a set of the prototype absorbance spectra of CYP3A4's (Fe3+) high-spin, low-spin, and P420 states.
On the basis of binomial approximation, 99.5% saturation of the droplets (i.e., 100 negative droplets in a ddPCR containing 20 000 droplets) would indicate between 102 000 and 110 000 copies of target DNA (95% confidence interval) in the 20 000-droplet reaction.
Numerical results comparing the errors associated with line pack estimation on the basis of alternative approximations to the mean pressure, temperature, and compressibility factor are presented.
On the basis of these approximations, the tobacco consumption was calculated in terms of pack-years.
Nevertheless, for non-normal distributions, they are often done on the basis of normal approximations, even when the data are to be analysed using generalized linear models (GLMs).
