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The feature of those models is simple, and they agree well with extensive experimental results.
It is to be remarked that, although the use of predicted values from regression models is simple from a practical point of view, the standard way to obtain summary measures of effect and their confidence interval is to use directly regression model coefficient estimates.
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Computational models are simple because they do not involve complex mathematical analysis.
Logical models are simple because they deal only with the logical sequence of events.
Population models are simple enough for evaluation before use to inform public policy making.
However, these two models are simple.
Because such BLUP models are simple and have low computational requirements, they have become popular approaches for practical genomic prediction.
(Is that cool, or what?) The European publishing model is simple and effective: cultivate an identity; tolerate lower profit margins; don't underestimate your readership.
His business model is simple.
The business model is simple: Companies spend millions each year on outside consultants without ever testing whether they are effective.
Whatever its drawbacks, the buy-one-give-one model is simple to understand, and thus brilliant marketing.
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