caa a22 4500 469064455 CHVBK 20180323132904.0 cr unu---uuuuu 170328e19920801xx s 000 0 eng 10.1007/BF00894229 doi (NATIONALLICENCE)springer-10.1007/BF00894229 Quantitative prediction of gold lodes in gold mineralization series based on large-scale mineralization information measurement [Elektronische Daten] [Anzhou Liu, Shaohua Liu, Xujun Li] The ability to quantitatively predict Au lodes in Au mineralization series with data from large-scale mineralization information is greatly needed. This paper discusses how to (1) classify the oreforming information, (2) set up the mineralization information model, (3) divide the statistical units within the minimum area of the mineralization anomalies, (4) select the comprehensive ore-forming (controlling) information variables, and (5) carry out the quantitative prediction using some newly proposed statistical models. Finally, the quantitative prediction results for Au lodes in a Au deposit, the Aohan Banner in Mongolia, are provided. Among the three first-grade prediction targets, two were tested and have been found to have industrial significance. International Association for Mathematical Geology, 1992 blind mineralization nationallicence superimposed information nationallicence gold lodes nationallicence multiple dimension nationallicence quantitative prediction nationallicence weighted matrix analysis nationallicence Liu Anzhou Changchun College of Geology, Jilin, People's Republic of China aut Liu Shaohua Changchun College of Geology, Jilin, People's Republic of China aut Li Xujun Changchun College of Geology, Jilin, People's Republic of China aut Mathematical Geology Kluwer Academic Publishers-Plenum Publishers 24/6(1992-08-01), 631-644 0882-8121 24:6<631 1992 24 11004 https://doi.org/10.1007/BF00894229 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00894229 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Anzhou Changchun College of Geology, Jilin, People's Republic of China aut NATIONALLICENCE 700 1- Liu Shaohua Changchun College of Geology, Jilin, People's Republic of China aut NATIONALLICENCE 700 1- Li Xujun Changchun College of Geology, Jilin, People's Republic of China aut NATIONALLICENCE 773 0- Mathematical Geology Kluwer Academic Publishers-Plenum Publishers 24/6(1992-08-01), 631-644 0882-8121 24:6<631 1992 24 11004 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer