Abstract
The statistical prediction of mineral deposits can be described as follows:Basic Theories— (1) similarity-analogy, (2) differences and anomalies, (3) ore-forming factors, andBasic Principles— (1) comprehensive prediction, (2) relationship between the prediction scale and the parameter scale, (3) distribution of mineral parameters, (4) quantitative prediction, (5) assessment, and (6) discovery rate analysis, andBasic Methods.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Agterberg, F. P., 1974, Geomathematics: Elsevier Publishing Company, Amsterdam, 596 p.
Hu, G., 1991, The Discretization Method of Integrated Model Profiles for Deep-Seated Inference: Earth Sci. J. China Univ. Geosci., v. 16, n. 3, p. 265–270.
Zhao, P., 1988, Review of Geomathematical Applications for Mineral Resources Evaluation in China, in C. F. Chung et al. (Eds.), Quantitative Analysis of Mineral and Energy Resources: D. Reidel Publishing Company, Dordrecht, p. 79–87.
Zhao, P., Hu, W., and Li, Z., 1983, Statistical Prediction of Mineral Deposits: Geological Publishing House, Beijing (in Chinese).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Zhao, P. Theories, principles, and methods for the statistical prediction of mineral deposits. Math Geol 24, 589–595 (1992). https://doi.org/10.1007/BF00894226
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF00894226