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Basu, Bidroha, Srinivas, V. V. (2013) Formulation of a mathematical approach to regional frequency analysis. Water Resources Research, 49 (10). 6810-6833 doi:10.1002/wrcr.20540

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Reference TypeJournal (article/letter/editorial)
TitleFormulation of a mathematical approach to regional frequency analysis
JournalWater Resources Research
AuthorsBasu, BidrohaAuthor
Srinivas, V. V.Author
Year2013 (October)Volume49
Issue10
PublisherAmerican Geophysical Union (AGU)
DOIdoi:10.1002/wrcr.20540Search in ResearchGate
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Mindat Ref. ID8229674Long-form Identifiermindat:1:5:8229674:0
GUID0
Full ReferenceBasu, Bidroha, Srinivas, V. V. (2013) Formulation of a mathematical approach to regional frequency analysis. Water Resources Research, 49 (10). 6810-6833 doi:10.1002/wrcr.20540
Plain TextBasu, Bidroha, Srinivas, V. V. (2013) Formulation of a mathematical approach to regional frequency analysis. Water Resources Research, 49 (10). 6810-6833 doi:10.1002/wrcr.20540
In(2013, October) Water Resources Research Vol. 49 (10) American Geophysical Union (AGU)

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Basu, Bidroha, Srinivas, V. V. (2014) Regional flood frequency analysis using kernel-based fuzzy clustering approach. Water Resources Research, 50 (4). 3295-3316 doi:10.1002/2012wr012828
Basu, Bidroha, Srinivas, V.V. (2015) A recursive multi-scaling approach to regional flood frequency analysis. Journal of Hydrology, 529. 373-383 doi:10.1016/j.jhydrol.2015.07.037
Kiran, K. G., Srinivas, V. V. (2021) Distributional Regression Forests Approach to Regional Frequency Analysis With Partial Duration Series. Water Resources Research, 57 (10) doi:10.1029/2021wr029909
Basu, Bidroha, Srinivas, V.V. (2015) Analytical approach to quantile estimation in regional frequency analysis based on fuzzy framework. Journal of Hydrology, 524. 30-43 doi:10.1016/j.jhydrol.2015.02.026
Kiran, K. G., Srinivas, V. V. (2022) Multivariate Regional Frequency Analysis Using Conditional Extreme Values Approach. Water Resources Research, 58 (5) doi:10.1029/2021wr031095
Santhosh, D., Srinivas, V. V. (2013) Bivariate frequency analysis of floods using a diffusion based kernel density estimator. Water Resources Research, 49 (12). 8328-8343 doi:10.1002/2011wr010777
Weiss, Jérôme, Bernardara, Pietro (2013) Comparison of local indices for regional frequency analysis with an application to extreme skew surges. Water Resources Research, 49 (5). 2940-2951 doi:10.1002/wrcr.20225
Bharath, R., Srinivas, V. V., Basu, Bidroha (2016) Delineation of homogeneous temperature regions: a two-stage clustering approach. International Journal of Climatology, 36 (1). 165-187 doi:10.1002/joc.4335
Kiran, K. G., Srinivas, V. V. (2021) Fuzzy Ensemble Clustering Approach to Address Regionalization Uncertainties in Flood Frequency Analysis. Water Resources Research, 57 (3) doi:10.1029/2020wr028412
Nearing, Grey S., Gupta, Hoshin V., Crow, Wade T., Gong, Wei (2013) An approach to quantifying the efficiency of a Bayesian filter. Water Resources Research, 49 (4). 2164-2173 doi:10.1002/wrcr.20177
Hao, Z., Singh, V. P. (2013) Modeling multisite streamflow dependence with maximum entropy copula. Water Resources Research, 49 (10). 7139-7143 doi:10.1002/wrcr.20523
 
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