| 基于偏最小二乘回归的粮食产量模型分析 |
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| 引用本文： | 王艳. 基于偏最小二乘回归的粮食产量模型分析[J]. 韶关学院学报, 2011, 32(8) |
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| 作者姓名： | 王艳 |
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| 作者单位： | 韶关学院数学与信息科学学院,广东韶关,512005 |
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| 摘 要： | 利用偏最小二乘回归方法对我国的粮食产量建立模型.在此基础上通过构造符合F分布的统计量,绘制T2椭圆图检测样本点中是否存在的异常点;通过构造变量投影指标反映每个自变量对因变量的影响程度,以此来提出提高因变量产量.
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| 关 键 词： | 偏最小二乘回归 统计量 变量投影指标 模型分析 |
Based on partial least squares to analysis the model |
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| WANG Yan. Based on partial least squares to analysis the model[J]. Journal of Shaoguan University(Social Science Edition), 2011, 32(8) |
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| Authors: | WANG Yan |
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| Affiliation: | WANG Yan(College of Mathematics and Information Sciences,Shaoguan University,Shaoguan 512005,Guangdong,China) |
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| Abstract: | Author used partial least squares regression to make a model of grain output. Based on the model, author make a statistic which consistent with the distribution F. Drawing elliptical figure to detect the abnormal points from the sample points. Constructing variable projection index to reflects the degree of influence for the dependent variable. |
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| Keywords: | partial least squares regression statistic variable projection index analysis of the model |
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