文章基本信息

标题：Power Weighted Quantile Regression and Its Application
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作者：Xue J. Ma ; Feng X. He
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2014
卷号：12
期号：3
页码：535-544
出版社：Tingmao Publish Company
摘要：In the paper, we propose power weighted quantile regression(PWQR), which can reduce the effect of heterogeneous of the conditional densities of the response effectively and improve efficiency of quantile regression). In addition to PWQR, this article also proves that all the weighting of those that the actual value is less than the estimated value of PWQR and the proportion of all the weighting is very close to the corresponding quantile. At last, this article establishes the relationship between Geomagentic Indices and GIC. According to the problems of power system security operation, we make GIC risk value table. This table can have stronger practical operation ability, can provide power system security operation with important inferences.
关键词：Quantile regression; Power Weighted Quantile Regression; GIC; Geomagentic Indices