中国农业气象
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汤志成;孙涵;
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Tang Zhicheng Sun Han(Meteorological Institute of Jiangsu Province)
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摘要： 本文分析了多重回归模型及其两种修正模型的不足,并根据作物不同生育阶段的农艺性状与产量的关系,分别给出了累加型和阶乘型中各生育阶段对产量贡献的权重,并结合考虑各生育阶段预报子模式的拟合效果,建立了加权多重回归模型.
关键词: 产量预报, 加权多重回归模型
Abstract: According to the relationship between agronomical characteristics and yield formation, for two kinds of multiple regression models (i. e. successive addition and multiplication), the weighted coefficient of each stage having influnce on yield was respectively given out, based on which and the fitting accuracy of submodel of each stage, two kinds of improved multiple regression modles were established, with elimination of the weakness of general multiple model.
Key words: Yield prediction Weighted multiple regression model, Yield prediction Weighted multiple regression model
汤志成;孙涵;. 产量预报的加权多重回归模型[J]. 中国农业气象.
Tang Zhicheng Sun Han(Meteorological Institute of Jiangsu Province). THE MODEL OF WEIGHTED MULTIPLE REGRESSION FOR YIELD PREDICTION[J]. Chinese Journal of Agrometeorology.
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https://zgnyqx.ieda.org.cn/CN/Y1992/V13/I04/24
