Published March 5, 2025
| Version v17
Journal article
Open
Residual Constraint Approach (RCA)
Description
This paper describes the new Residual Constraint Approach (RCA), used to achieve higher accuracy appraisals of residential property through the use of R/earth (MARS) and value contribution related constraints.
Additions for accuracy
Files
rca.pdf
Files
(1.9 MB)
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Additional details
Dates
- Accepted
-
2025-02-20Accepted
- Copyrighted
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2025-02-20Copyrighted
References
- Milborrow,S. Earth: Multivariate Adaptive Regression Splines. URL https://CRAN.R-project.org/package= earth. R Package.
- Stephen Milborrow. Notes on the earth package. . URL http://www.milbo.org/doc/earth-notes.pdf.
- Friedman, Jerome H. Multivariate Adaptive Regression Splines. 1991(1):1–141
- Trevor Hastie, Robert Tibshirani, and Jerome H. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Series in Statistics. Springer, second edition edition. ISBN 978-0-387-84857-0 978-0-387-84858-7. Description based on publisher supplied metadata and other sources.
- Max Kuhn and Kjell Johnson. Applied Predictive Modeling. Springer, corrected at 5th printing edition. ISBN 978-1-4614-6848-6 978-1-4614-6849-3. Description based upon print version of record.
- Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, editors. An Introduction to Statistical Learning: With Applications in R. Number 103 in Springer Texts in Statistics. Springer. ISBN 978-1-4614-7137-0. Includes index.
- Wengang Zhang. MARS Applications in Geotechnical Engineering Systems: Multi-Dimension with Big Data. Springer. ISBN 978-981-13-7421-0 978-7-03-061046-1. Literaturangaben.
- Stephen Milborrow. Variance models in earth. . URL http://www.milbo.org/doc/earth-varmod.pdf.