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Ordinary Least Squares with Laboratory Calibrations: A Practical Way to Show Students that This Fitting Model may Easily Yield Biased Results When Used Indiscriminately
by Juan M. Sanchez
World Journal of Analytical Chemistry. 2017, 5(1), 1-8. DOI: 10.12691/wjac-5-1-1
Pub. Date: December 23, 2017Views: 17545Downloads: 16467
calibration curves linearity homoscedasticity biased results outliers
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Appraisal of Methods for Estimating Orthometric Heights – A Case Study in a Mine
by M. S. Peprah and S. A. Kumi
Journal of Geosciences and Geomatics. 2017, 5(3), 96-108. DOI: 10.12691/jgg-5-3-1
Pub. Date: May 03, 2017Views: 17767Downloads: 15664
orthometric heights geoid ellipsoid multivariate adaptive regression splines vertical coordinates artificial neural network multiple linear regression polynomial mathematical model ordinary least square total least square
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Modelling Relationship between NDVI and Climatic Variables Using Geographically Weighted Regression
by U. Usman, S. A. Yelwa, S.U. Gulumbe and A. Danbaba
Journal of Mathematical Sciences and Applications. 2013, 1(2), 24-28. DOI: 10.12691/jmsa-1-2-2
Pub. Date: August 17, 2013Views: 22809Downloads: 16321
geographical weighted regression Ordinary Least Square Normalized Difference Vegetation Index rainfall temperature
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