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A practical method for calculating monotonic cubic smoothing splines is given. Linear sufficient conditions for monotonicity are employed, and the spline coefficients are obtained using quadratic programming. The method enables efficient cross-validation estimates of the smoothing parameter to be made and confidence intervals to be calculated for the resulting spline. The results are easy to extend to histogram data.
Simon N. Wood (Thu,) studied this question.
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