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The more basic models tend to have just a few functions -- say, a tracker for burned calories -- while the higher-end monitors let athletes compile all sorts of data about their workouts.
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Less expensive models tend to be less durable and unreliable.
Weather models tend to project moderate rather than extreme warmth.
Factor-based models tend to be less accurate.
The mainstream models tend to think linearly.
"Values on older models tend to fall faster".
Mathematical programming models tend to be static one-period models.
Early models tended to be oriented towards "understanding the basic constraints that govern human analogical thinking" (Hummel and Holyoak 1997: 458).
The model tends to its endemic equilibrium point as time tends to infinity.
Hence, the model tends to be stable.
Which in one way is true: principles this basic do tend to be simple.
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