Basic Analysis • Bivariate Analysis • Statistical Details for the Bivariate Platform • Fit Spline
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Fit Spline
The cubic spline method uses a set of third-degree polynomials spliced together such that the resulting curve is continuous and smooth at the splices (knot points). The estimation is done by minimizing an objective function that is a combination of the sum of squares error and a penalty for curvature integrated over the curve extent. See the paper by Reinsch (1967) or the text by Eubank (1988) for a description of this method.

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Help created on 9/19/2017