Bayesian Statistical Analysis in Coastal Eutrophication Models: Challenges and Solutions

作者: Farnaz Nojavan Asghari

DOI:

关键词:

摘要:

参考文章(90)
Katrina Smith Korfmacher, Water quality modeling for environmental management: Lessons from the policy sciences Policy Sciences. ,vol. 31, pp. 35- 54 ,(1998) , 10.1023/A:1004334600179
D. J. Conley, H. W. Paerl, R. W. Howarth, D. F. Boesch, S. P. Seitzinger, K. E. Havens, C. Lancelot, G. E. Likens, Controlling Eutrophication: Nitrogen and Phosphorus Science. ,vol. 323, pp. 1014- 1015 ,(2009) , 10.1126/SCIENCE.1167755
IJ Hodgkiss, KC Ho, None, Are changes in N:P ratios in coastal waters the key to increased red tide blooms? Asia-Pacific Conference on Science and Management of Coastal Environment. ,vol. 352, pp. 141- 147 ,(1997) , 10.1007/978-94-011-5234-1_14
Song S Qian, Kenneth H Reckhow, Jun Zhai, Gerard McMahon, None, Nonlinear regression modeling of nutrient loads in streams: A Bayesian approach Water Resources Research. ,vol. 41, pp. 07012- ,(2005) , 10.1029/2005WR003986
Eugene Roventa, Tiberiu Spircu, Bayesian (Belief) Networks Springer, Berlin, Heidelberg. pp. 133- 152 ,(2009) , 10.1007/978-3-540-77463-1_5
Avi Pfeffer, Daphne Koller, Object-oriented Bayesian networks uncertainty in artificial intelligence. pp. 302- 313 ,(1997)