本文报道了应用回归分析方法建立了一套毛竹产量的数学模型,并进行R、S_δ值比较分析,同时用近代统计学方法中提出的C_P值和方差膨胀系数进行测定,以及Freese法x~2检验和误差分析。从而实现对数学模型的筛选和优化,获得10个预测准确的较理想的新模型,对提高毛竹产量预测的准确性有实用价值。 This paper reports the establishment of a mathematic model of the yield of Phyllostachys pubescens using regression analysis and the comparative analysis of R and S_δ values. Meanwhile, the C_P values ​​and variance expansion coefficients proposed in modern statistical methods were used for the determination, and the Freese method x ~ 2 Test and error analysis. In order to realize the selection and optimization of the mathematical model and obtain 10 new ideal models with accurate prediction, it is of practical value to improve the accuracy of the forecast of bamboo production.