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变异时序回归GM(1,1)模型
引用本文:陈西江,鲁铁定.变异时序回归GM(1,1)模型[J].测绘科学,2011,36(6):184-186.
作者姓名:陈西江  鲁铁定
作者单位:1. 东华理工大学测绘学院,江西抚州,344000
2. 武汉大学测绘学院,武汉,430079
基金项目:国家自然科学基金资助项目(40874010);江西省自然科学基金资助项目;江西省教育厅科技资助项目;地球空间环境与大地测量教育部重点实验室开放基金资助项目(080101)
摘    要:鉴于在GM(1,1)预测模型中,灰参数与背景值导致的GM(1,1)模型的残差,本文提出将残差引入到时序中,对时序进行变异,利用不同的曲线回归方程对变异时序进行估计.基于对不同回归方程估计结果的误差分析,选用最佳的回归方程作为GM(1,1)变异时序预测方程;并将预测结果作为GM(1,1)模型的变量k.实例计算表明,变异时...

关 键 词:回归分析  时间序列  GM(1  1)  PGM(1  1)

GM( 1, 1 ) model of time sequence variation regression
CHEN Xi-jiang,LU Tie-ding.GM( 1, 1 ) model of time sequence variation regression[J].Science of Surveying and Mapping,2011,36(6):184-186.
Authors:CHEN Xi-jiang  LU Tie-ding
Institution:②(①School of Geological Science and Surveying Engineering,East China Institute of Technology,Jiangxi Fuzhou 344000,China;②School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China)
Abstract:In the paper,the residual was proposed to introduce to time sequence in view of the residual that was caused by ash parameter and background value in the prediction model of GM(1,1).Time sequence was been taken variation.Different curve regression equations were used to estimate the variation time sequence.It chose the best regression equation as variation time sequence prediction equation of GM(1,1) based on the error analysis of the different estimation results.And it used prediction results as variable k of GM(1,1).The example showed that GM(1,1) model of time sequence variation regression had high accuracy of simulation and prediction.
Keywords:regression analysis  time sequence  GM(1  1)  PGM(1  1)
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