Calculation and realization of new method grey residual error correction model.

Aiming at the problem of prediction accuracy of stochastic volatility series, this paper proposes a method to optimize the grey model(GM(1,1)) from the perspective of residual error. In this study, a new fitting method is firstly used, which combines the wavelet function basis and the least square m...

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Autores principales:	Lifang Xiao, Xiangyang Chen, Hao Wang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a18def2b25704be5bd14daf353d90374
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spelling	oai:doaj.org-article:a18def2b25704be5bd14daf353d903742021-12-02T20:06:51ZCalculation and realization of new method grey residual error correction model.1932-620310.1371/journal.pone.0254154https://doaj.org/article/a18def2b25704be5bd14daf353d903742021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254154https://doaj.org/toc/1932-6203Aiming at the problem of prediction accuracy of stochastic volatility series, this paper proposes a method to optimize the grey model(GM(1,1)) from the perspective of residual error. In this study, a new fitting method is firstly used, which combines the wavelet function basis and the least square method to fit the residual data of the true value and the predicted value of the grey model(GM(1,1)). The residual prediction function is constructed by using the fitting method. Then, the prediction function of the grey model(GM(1,1)) is modified by the residual prediction function. Finally, an example of the wavelet residual-corrected grey prediction model (WGM) is obtained. The test results show that the fitting accuracy of the wavelet residual-corrected grey prediction model has irreplaceable advantages.Lifang XiaoXiangyang ChenHao WangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254154 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lifang Xiao Xiangyang Chen Hao Wang Calculation and realization of new method grey residual error correction model.
description	Aiming at the problem of prediction accuracy of stochastic volatility series, this paper proposes a method to optimize the grey model(GM(1,1)) from the perspective of residual error. In this study, a new fitting method is firstly used, which combines the wavelet function basis and the least square method to fit the residual data of the true value and the predicted value of the grey model(GM(1,1)). The residual prediction function is constructed by using the fitting method. Then, the prediction function of the grey model(GM(1,1)) is modified by the residual prediction function. Finally, an example of the wavelet residual-corrected grey prediction model (WGM) is obtained. The test results show that the fitting accuracy of the wavelet residual-corrected grey prediction model has irreplaceable advantages.
format	article
author	Lifang Xiao Xiangyang Chen Hao Wang
author_facet	Lifang Xiao Xiangyang Chen Hao Wang
author_sort	Lifang Xiao
title	Calculation and realization of new method grey residual error correction model.
title_short	Calculation and realization of new method grey residual error correction model.
title_full	Calculation and realization of new method grey residual error correction model.
title_fullStr	Calculation and realization of new method grey residual error correction model.
title_full_unstemmed	Calculation and realization of new method grey residual error correction model.
title_sort	calculation and realization of new method grey residual error correction model.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/a18def2b25704be5bd14daf353d90374
work_keys_str_mv	AT lifangxiao calculationandrealizationofnewmethodgreyresidualerrorcorrectionmodel AT xiangyangchen calculationandrealizationofnewmethodgreyresidualerrorcorrectionmodel AT haowang calculationandrealizationofnewmethodgreyresidualerrorcorrectionmodel
_version_	1718375320962203648

Calculation and realization of new method grey residual error correction model.

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