摘要
本文论述了农业生产和科研中的回归计算,阐明数学模型的建立和计算原理。对自变量因子的性质不同,探讨线性模型的分类及其意义。从农业生产和科研的特点对变量属性,数据处理,计算的精度进行了分析,应用主成份分析的方法,压缩变量维数,达到有利于实践的计算和降低实践预测问题的复杂程度。
This aiticle deals with the regression in agricultural production and scientific research, the setting up of maths model and calculating theory. It inquires into the classification and significance of the linear model according to the different chazactezs of its independent variabe factor. It anaeyzes the vaziarle atteibute, data processing and calccuating accuracy from the point of view of agricultural production and scientific research. Applying the analyzing method of tne main ingre-dient, it compresses the variable dimension to achieve the practical calculation and to reducl the complexity of practical prediction.
关键词
回归
属性因子
线性模型
regression
attribute factor
lineaz model
