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This is a common approximation for the design of DFEs, and it usually makes sense under the assumption that the receiver is operating with a sufficiently low symbol error probability.
Since assuming exponential sojourn times in infected states is a common approximation used in most of mathematical models, we were interested in evaluating the potential bias that such an assumption would introduce at a global scale of an epidemic.
errors with common variance \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma_{e } ^{2} $$\end{document e 2, which is a common approximation.
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This is a common and sufficient approximation to describe spin crossover phenomena.
Important applications of the smoothing technique may be found in calculating a sigmoid approximation, which is a common topic in various contexts in applications in disciplines like physics, economics, biology and engineering.
Hence, one needs to make assumptions about the data generative mechanism, for which the standard Poisson distribution provides a reasonable approximation and is a common practice.
This is a common scheme in KPCA-based methods, where we call this approximation [Approximation 2], hereafter.
The Monte Carlo method is a common and accurate way to model neutron transport with minimal approximations.
Because optimal SRH is a common health outcome in the study population, logistic regression models may not produce an accurate approximation [ 25, 26].
This is a very common approximation in hydrodynamics, valid if the thickness of the cortex is small compared to the length of the cell.
When treating these dynamics involving sinusoids, a common approximation is to implement Fourier-Bessel expansions [27].
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