McCord, M.; Lo, D.; Davis, P.; McCord, J.; Hermans, L.; Bidanset, P.
Applying the Geostatistical Eigenvector Spatial Filter Approach into Regularized Regression for Improving Prediction Accuracy for Mass Appraisal. Appl. Sci. 2022, 12, 10660.
https://doi.org/10.3390/app122010660
AMA Style
McCord M, Lo D, Davis P, McCord J, Hermans L, Bidanset P.
Applying the Geostatistical Eigenvector Spatial Filter Approach into Regularized Regression for Improving Prediction Accuracy for Mass Appraisal. Applied Sciences. 2022; 12(20):10660.
https://doi.org/10.3390/app122010660
Chicago/Turabian Style
McCord, Michael, Daniel Lo, Peadar Davis, John McCord, Luc Hermans, and Paul Bidanset.
2022. "Applying the Geostatistical Eigenvector Spatial Filter Approach into Regularized Regression for Improving Prediction Accuracy for Mass Appraisal" Applied Sciences 12, no. 20: 10660.
https://doi.org/10.3390/app122010660
APA Style
McCord, M., Lo, D., Davis, P., McCord, J., Hermans, L., & Bidanset, P.
(2022). Applying the Geostatistical Eigenvector Spatial Filter Approach into Regularized Regression for Improving Prediction Accuracy for Mass Appraisal. Applied Sciences, 12(20), 10660.
https://doi.org/10.3390/app122010660