一元线性回归模型的参数估计法的误差分析
对横向距离平方和最小法与最小二乘法的误差进行分析,发现二者的误差大小与拟合直线的斜率有关.这两种方法的参数估计表达式与最小距离平方和法的参数估计表达式有相应的关系.通过举例比较和讨论了这三种数据拟合方法的优劣,并分别给出了较合理的应用控制条件....
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| Veröffentlicht in: | 宜宾学院学报 2014-12, Vol.14 (12), p.18-21 |
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| container_title | 宜宾学院学报 |
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| creator | 唐薇 冯长焕 |
| description | 对横向距离平方和最小法与最小二乘法的误差进行分析,发现二者的误差大小与拟合直线的斜率有关.这两种方法的参数估计表达式与最小距离平方和法的参数估计表达式有相应的关系.通过举例比较和讨论了这三种数据拟合方法的优劣,并分别给出了较合理的应用控制条件. |
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| fulltext | fulltext |
| identifier | ISSN: 1671-5365 |
| ispartof | 宜宾学院学报, 2014-12, Vol.14 (12), p.18-21 |
| issn | 1671-5365 |
| language | chi |
| recordid | cdi_wanfang_journals_ybxyxb201412005 |
| source | National Center for Philosophy and Social Science Documentation (China) |
| subjects | 参数估计 回归分析 最小二乘法 横向距离平方和最小法 |
| title | 一元线性回归模型的参数估计法的误差分析 |
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