| 高次差法求解时间序列中趋势项的方法研究及其应用 |
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| 引用本文： | 石双忠,岳东杰,李蕾蕾. 高次差法求解时间序列中趋势项的方法研究及其应用[J]. 现代测绘, 2004, 27(1): 14-16 |
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| 作者姓名： | 石双忠 岳东杰 李蕾蕾 |
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| 作者单位： | 河海大学,土木工程学院,江苏,南京,210098 |
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| 摘 要： | 介绍了高次差法求解时间序列中趋势项的基本原理与方法。通过实例对某沉降监测点的观测序列进行分析处理、预报，并与最小二乘法进行了比较，结果表明该法在建模的精度、抵抗粗差等方面均优于最小二乘法。可应用于时间序列中趋势项的求解与多项式回归分析。
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| 关 键 词： | 高次差法 时间序列 趋势项 沉降监测 最小二乘 多项式回归 |
| 文章编号： | 1672-4097(2004)01-0014-03 |
Resolving Time-Series Tendency Part with Higher Difference Method and Its Application |
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| Shi Shuangzhong,Yue Dongjie,Li Leilei. Resolving Time-Series Tendency Part with Higher Difference Method and Its Application[J]. Modern Surveying and Mapping, 2004, 27(1): 14-16 |
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| Authors: | Shi Shuangzhong Yue Dongjie Li Leilei |
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| Abstract: | The paper introduces the principle and method of resolving time-series tendency part with higher difference method. By analyzing, processing and forecasting some settlement monitoring point's observation and comparing with Least Square method , the result showed that the method is better than the Least Square method in precision of building model and anti-gross-error. The method can apply in resolving time-series tendency part and polynomial regressive analysis. |
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| Keywords: | The Least Square method Polynomial regressive analysis Higher difference Time-series Tendency part |
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