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Heteroscedasticity is a major concern in statistical modeling because it can invalidate statistical tests of significance which may assume that the modeling errors are uncorrelated and that the error variances do not vary with the effects being modeled.
Multiscale methods are suitable for this type of modeling, because it enables capturing the large scale behavior of the solution without solving all the small features.
This is also a very important part of modeling because it speaks directly to the perceived credibility of the results of any modeling endeavor.
Land cover plays a key role in global to regional monitoring and modeling because it affects and is being affected by climate change and thus became one of the essential variables for climate change studies.
Investigators in the areas of control systems, neural networks, computer science, food processing and economics rely on mathematical modeling because it surely affects nonlinear difference equations.
This property is desirable for NMF-based audio source modeling because it justifies the nonnegative linear decomposition of complex-valued signals [42].
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The team chose the blood cell system as its model because it's well-understood in terms of cellular development.
They say eBay avoided fiddling with its auction model because it was wary of disrupting a long-profitable equilibrium between buyers and sellers.
Ford recently stopped production of its European Scorpio model, because it sold so poorly.
Ms. Feldman pointed to France as a model because it offers free preschool programs to all its citizens.
Debt is intrinsic to Dubai's economic model, because it cannot rely on hydrocarbon revenues to finance its ambitions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com