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Basic Analysis > Bivariate Analysis > Statistical Details for the Bivariate Platform > Statistical Details for the Fit Spline Option
Publication date: 05/05/2023

Statistical Details for the Fit Spline Option

In the Bivariate platform, 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 squared errors and a penalty for curvature integrated over the curve extent. See the paper by Reinsch (1967) or the text by Eubank (1999) for a description of this method.

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