A Novel Non-Isotonic Statistical Bivariate Regression Method—Application to Stratigraphic Data Modeling and Interpolation
The present paper deals with nonlinear, non-monotonic data regression. This paper introduces an efficient algorithm to perform data transformation from non-monotonic to monotonic to be paired with a statistical bivariate regression method. The proposed algorithm is applied to a number of synthetic a...
Main Authors: | Daniele Polucci, Michele Marchetti, Simone Fiori |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
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Series: | Mathematical and Computational Applications |
Subjects: | |
Online Access: | https://www.mdpi.com/2297-8747/25/1/15 |
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