• Corpus ID: 211677672

Roughness Penalty for liquid Scorecards

@article{Hoadley2020RoughnessPF,
  title={Roughness Penalty for liquid Scorecards},
  author={Bruce Hoadley},
  journal={arXiv: Methodology},
  year={2020}
}
  • B. Hoadley
  • Published 1 March 2020
  • Mathematics
  • arXiv: Methodology
A liquid scorecard has liquid characteristics, for which the characteristic score is a smooth function of the characteristic over a liquid range. The smooth function is based on B-splines, typically cubic. In contrast, the characteristic scores for traditional scorecards are step functions of the characteristics. Previously, there were two ways to control the smoothness of the liquid characteristic score: (1) coarse classing where the fewer the number of classes, the smoother the curve; (2) the… 

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Liquid Scorecards
TLDR
This paper uses Quadratic Programming and B-Spline theory to find the Liquid Scorecard, that allows the component functions to be, at least partially, smooth curves.
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