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Power Weighted Quantile Regression and Its Application
Volume 12, Issue 3 (2014), pp. 535–544
Xue J. Ma   Feng X. He  

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https://doi.org/10.6339/JDS.201407_12(3).0009
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

Abstract: 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.

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Keywords
Quantile regression Power Weighted Quantile Regression GIC

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