摘要
本文在碱房林场二类调查的基础上,针对应用分层抽样控制总体,如何提高小班蓄积量回归估计精度的问题,对简单回归、分层回归、多元回归等多种回归形式估计小班蓄积量的方法进行了分析比较。结果表明:多元回归的方法,可明显降低外业工作量、提高估计精度。同时提出了建立多元回归方程时,选择辅助因子和质量因子数量的原则。
In order to improve the precisions of estimating the subcomp-artment volueme , various regression methods (simple regrssion,stratified regression and multivarite regression) were compared in processing the data collected from the second class forest-survey of Jianfang Forest Farm. The results show that multivariate regression method ranks the first in precision estimation with less work. Meanwhile, the p-rinciple of determing the numbers of assistant factors and quality factors in setting up multivariate regression equations is also put forward.
关键词
多元回归
二类调查
小班蓄积量
multivariate regression
second class forest-survey
subcom-partment volume
