Comment on "A Conditional Dependence Adjusted Weights of Evidence Model" by Minfeng Deng in Natural Resources Research 18(2009), 249-258

Natural Resources Research

Volumn 20, Issue 4, 2011, Pages 401-406

  Schaeben, Helmut ^a   van den Boogaart, K Gerald ^a  

^a TU BERGAKADEMIE FREIBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 81755177458     PISSN: 15207439     EISSN: 15738981     Source Type: Journal    
DOI: 10.1007/s11053-011-9146-0     Document Type: Article

References (6)

1. Agterberg, F. P. (2011). A modified weights-of-evidence method for regional mineral resource estimation. Natural Resources Research. doi: 10. 1007/s11053-011-9138-0.
2. Agterberg, F. P., & Bonham-Carter, G. F. (1999). Logistics regression and weights of evidence modeling in mineral exploration. In Proc. APCOM'99, computer applications in the minerals industries (pp. 583-590). Colorado School of Mines.
3. Agterberg, F. P., Bonham-Carter, G. F., Wright, D. F., & Cheng, Q. (1989). Weights of evidence and weighted logistic regression for mineral potential mapping. In J. C. Davis & U. C. Herzfeld (Eds.), Computers in geology: 25 years of progress (pp. 13-32). New York: Oxford University Press.
4. Deng, M. (2009). A conditional dependence adjusted weights of evidence model. Natural Resources Research, 18, 249-258. doi: 10. 1007/s11053-009-9101-5.
5. Deng, M. (2010). Binary pattern recognition in the presence of correlated multiple dependent variables. Natural Resources Research, 19, 269-278. doi: 10. 1007/s11053-010-9128-7.
6. R Development Core Team. (2008). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. ISBN 3-900051-07-0. http://www. R-project. or.