Maximum entropy-based conditional probability distribution runoff model

Biosystems Engineering

Volumn 90, Issue 1, 2005, Pages 103-113

  Agrawal, Deepak ^a   Singh, J K ^a   Kumar, Akhilesh ^a  

^a G B PANT UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CATCHMENTS; DAMS; ENTROPY; HYDROLOGY; INFORMATION ANALYSIS; PROBABILITY DISTRIBUTIONS; RAIN; RIVERS;

HYDROLOGICAL DATA; MATATILA DAM; MONSOON; PROBABILITY LEVELS;

RUNOFF;

EID: 13444292491     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2004.08.003     Document Type: Article

References (15)

1. Abromowitz M; Stegun I A (1964). Handbook of Mathematical Functions, 1046pp. Dover, New York
2. Agrawal D (2003). Maximum entropy based conditional probability distribution model for rainfall-runoff process in Matatila dam catchment. Unpublished M Tech Thesis, Department of Soil and Water Conservation Engineering, G.B.Pant University of Agriculture and Technology, Pantnagar, India
3. E.T. Jaynes Information theory and statistical mechanics - I Physics Review 106 1957 620 630
4. E.T. Jaynes Probability Theory in Science and Engineering 1961 Mcgraw-Hill Book Company New York
5. E.T. Jaynes Prior probabilities IEEF Transaction System, Cybern 3 1968 277 291
6. Jowitt P W; Munro J (1975). The influence of void distribution and entropy on the engineering properties of granular media. Proceedings of the 2nd International Conference on Applications of Statistics and Probability in Soil and Structural Engineering, Aachen, pp 365-385
7. P.W. Jowitt The extreme value type-I distribution and the principle of maximum entropy Journal of Hydrology 42 1979 23 38
8. Middelton D (1960). An Introduction to Statistical Communication Theory, 1140pp. McGraw Hill, New York
9. Shannon C E; Weaver W (1949). The Mathematical Theory of Communication, 117pp. University of Illinois Press, Urbana
10. V.P. Singh, and K. Singh Derivation of the Pearson type (PT)-III distribution by using the principle of maximum entropy (POME) Journal of Hydrology 80 1985 197 214
11. V.P. Singh, and P.F. Krystanovic A stochastic model for sediment yield using the principle of maximum entropy Water Resources Research 23 4 1987 781 793
12. J.O. Sonuga Principle of maximum entropy in hydrology frequency analysis Journal of Hydrology 17 1972 177 191
13. J.O. Sonuga Entropy principle applied to the rainfall-runoff process Journal of Hydrology 30 1976 81 94
14. Tribus M (1969). Rational Description, Decisions and Design, 478pp. Pergamon, London, USGS 1936, US Geological Survey Water-supply Paper, No. 771 pp 400.
15. A.C.Z. Verdugo Lazo, and P.N. Rathie On the entropy of continuous probability distributions IEEE Transactions on Information Theory 24 1 1978 120 122