Modified weighted function method with the incorporation of historical floods into systematic sample for parameter estimation of Pearson type three distribution》.pdfVIP

Modified weighted function method with the incorporation of historical floods into systematic sample for parameter estimation of Pearson type three distribution》.pdf

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Modified weighted function method with the incorporation of historical floods into systematic sample for parameter estimation of Pearson type three distribution》.pdf

Journal of Hydrology 527 (2015) 958–966 Contents lists available at ScienceDirect Journal of Hydrology journal homepage: www.elsevi /locate/jhydrol Modified weighted function method with the incorporation of historical floods into systematic sample for parameter estimation of Pearson type three distribution Jun Wang a, Zhongmin Liang a,b,⇑, Yiming Hu b, Dong Wang a a College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China b State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China a r t i c l e i n f o s u m m a r y Article history: Incorporating the historical flood and paleoflood information to systematical observed data (i.e. simple Received 13 October 2014 sample) is extremely useful approach for enriching the datasets and improving the accuracy of parameter Received in revised form 10 May 2015 estimation, in turn to improve the reliability of hydrological frequency analysis. In this paper, the formu- Accepted 11 May 2015 las for using Modified Weighted Function (MWF) method to estimate parameters of Pearson Type Three Available online 19 May 2015 Distribution (PE3) in term of non-simple sample (with the incorporation of historical flood information to This manuscript was handled by Andras Bardossy, Editor-in-Chief, with the systematically recorded sample) are developed, called as MWFIHF, which makes MWF method available assistance of Niko Verhoest, Associate Editor for non-simple sam

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