Abstract
During the past 8 years, several methods for regression diagnostics have become widely used. In this paper these methods are applied to a mineral resource evaluation problem consisting of estimating the frequency of occurrence of mineral deposits of a given type per unit area from measurements on explanatory variables in a region. New results were obtained by constructing partial regression residual plots to check the linearity assumption.
Diagonal elements of the hat matrix help to identify high-leverage cells and clustering of the off-diagonal elements of a hat matrix provides a sequence of cells within a region in order of degree of similarity. Use was made of newly developed computer programs to obtain the hat matrix and modified hat matrix in linear and logistic regression.
Geological Survey of Canada Contribution 36586.
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© 1988 D. Reidel Publishing Company, Dordrecht, Holland
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Agterberg, F.P. (1988). Application of Recent Developments of Regression Analysis in Regional Mineral Resource Evaluation. In: Chung, C.F., Fabbri, A.G., Sinding-Larsen, R. (eds) Quantitative Analysis of Mineral and Energy Resources. NATO ASI Series, vol 223. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4029-1_1
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DOI: https://doi.org/10.1007/978-94-009-4029-1_1
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