Utilization of the Bayesian Method to Improve Hydrological Drought Prediction Accuracy
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DOI: 10.1007/s11269-017-1682-x
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- Andrew Gelman, 2003. "A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing," International Statistical Review, International Statistical Institute, vol. 71(2), pages 369-382, August.
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Cited by:
- Mojtaba Sadegh & Morteza Shakeri Majd & Jairo Hernandez & Ali Torabi Haghighi, 2018. "The Quest for Hydrological Signatures: Effects of Data Transformation on Bayesian Inference of Watershed Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1867-1881, March.
- Parisa Noorbeh & Abbas Roozbahani & Hamid Kardan Moghaddam, 2020. "Annual and Monthly Dam Inflow Prediction Using Bayesian Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2933-2951, July.
- Quang-Tuong Vo & Jae-Min So & Deg-Hyo Bae, 2020. "An Integrated Framework for Extreme Drought Assessments Using the Natural Drought Index, Copula and Gi* Statistic," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1353-1368, March.
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More about this item
Keywords
Hydrological drought prediction; Bayesian method; ESP; GS5; SRI;All these keywords.
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Statistics
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