Sentence examples for flawed modelling from inspiring English sources

Exact(1)

Mixing characterized by an axial dispersion coefficient is extremely sensitive to these flow bifurcations, which may lead to flawed modelling of the coupling between flow and mass transfer.

Similar(59)

It is not just that ratings agencies are incompetent, made wrong assumptions about the housing market and used flawed models to evaluate mortgage-backed securities.

In their public comments, AAM complained that the EPA had used flawed models that incorrectly predicted the technology costs associated with the new standards, estimating their total compliance costs could be as much as $200 billion between 2012 and 2025.

To the newly elected governor of Massachusetts in January 2003, the commonwealth was a deeply flawed business model requiring sweeping remedies.

The list of culprits for the woes afflicting banks includes bankers' pay, credit ratings, ill-prepared boards, sleepy supervisors, accounting regimes, flawed risk models and Alan Greenspan.

But he said the Ponzi scheme language suggested an inherently flawed business model, which did not fit the charge, even if it were true.

Competition that crushes flawed business models comes from unexpected places.

The challenges faced by these therapies include the following: lack of predictive and response biomarkers, unfavorable safety profiles, expression of targets not restricted to the cancer cells, flawed preclinical model systems, drug resistance, and PDA's complex nature.

For full disclosure, I should say that Luzer is my sister-in-law's boyfriend, which is why I read his brilliant Washington Monthly article in 2010 that decoded higher education's poisonously flawed business model.

It is less complicated to identify and address incorrect understandings of single ideas (e.g., all blood vessels have valves) than flawed mental models (e.g., the human circulatory system is a single loop rather than a double loop).

There are at least three sources of discordance in cases where there is lack of agreement: a) empirical data are accurate but the model is flawed; b) the model is valid but reference empirical data are inaccurate; or c) neither empirical data nor model is accurate, and each is inaccurate in different ways.

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