Semiparametric regression is an extension of regression that permits incorporation of flexible functional relationships using basis functions,. Such as splines and wavelets, and penalties and is now well-developed for cross-sectional, longitudinal and spatial data. Regression analyses process the data in batch. That is, a data set is fed into a semiparametric regression procedure at some point in time after. Tables and figures on a piece of paper.

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