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Autoregressive Conditional Heteroskedasticity

A statistical measure of the average error between a best fit line and actual data that uses past data to predict future performance. General Autoaggressive Conditional Heteroskedasticity is the most common way of doing this. See also: Fractal Distribution.
References in periodicals archive ?
Extraction of selected teeth arch expansion and inter-enamel stripping8 are a few techniques that canbe commonly utilized alone or in combination to address the problem of crowding.
Any arch expansion in the tapered arch group is deleterious for proper alignment of the lower labial segment since this region is constrained by circumoral musculature.