| 基于线性回归的建模方法--最小量化法 |
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| 引用本文： | 强雁,羌维立. 基于线性回归的建模方法--最小量化法[J]. 南京理工大学学报(自然科学版), 2003, 27(Z1): 91-94 |
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| 作者姓名： | 强雁 羌维立 |
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| 作者单位： | 南京航天管理干部学院,南京,210001 |
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| 摘 要： | 应用线性回归进行预测时,最困难的问题是如何建立一个符合实际的回归模型.该文叙述了此方法的基本思想,以及最小量化法处理准则;在总结回归模型的建模方法基础上,论述了最小量化法建模方法;以某案例实证了本文方法.
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| 关 键 词： | 线性回归 建模 最小量化法 |
| 修稿时间： | 2003-01-06 |
Minimum Quartitilization Method Based on Linear Regression |
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| Qiang Yan Qiang Weili. Minimum Quartitilization Method Based on Linear Regression[J]. Journal of Nanjing University of Science and Technology(Nature Science), 2003, 27(Z1): 91-94 |
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| Authors: | Qiang Yan Qiang Weili |
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| Abstract: | Setting up a practical regression model is the most difficult job in the forecast with linear regression. The basic conception discusses of the linear regression and the minimum quartitilization rule were expounded. The modeling method with minimum quartitilization method were discussed. The method was illustrated with an example. |
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| Keywords: | linear regression modeling minimum quartitilization method |
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