会议专题

Hydrological Frequency Analysis Based on Robust Statistical Theory

In hydrological frequency analysis, the basic assumption that hydrological extremes are identically distributed from a given probability distribution with unknown parameters, is somewhat challenged. It is more likely to recognize that data collected from observation are from a contaminated distribution. In this paper, a new robust statistical method was designed to provide quantile estimates by data from the contaminated probability distribution. The method is constructed by combining Hubers M-Estimator (M-E) and Minimum Distance Estimator (MD-E). It has been shown that M-E is capable of obtaining a robust estimation of the location parameter of a distribution, and MD-E is able to achieve the robust estimations of its scale and shape parameters. Statistical properties of the proposed method have been studied based on Monte-Carlo experiment to the Person type three distribution (P-3). Results show that the method presented is robust and has advantages in preserving good statistical properties.

Hydrological frequency analysis Robust statistics Hubers M-Estimator Minimum Distance Estimator Monte-Carlo ezperiment Person type three distribution

LIANG Zhongmin SHI Ye TANG Chunyi

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098

国际会议

2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

广西桂林

英文

1215-1219

2009-06-17(万方平台首次上网日期,不代表论文的发表时间)