在森林资源调查中,我们可以根据某些容易确定的辅助因子来估计需要调查的主要因子。当这些辅助因子中有一些是“不可计量”的因子(例如树种,立地指数等),而主要因子是“可计量”的因子(例如蓄积量)时,就可以采用“数量化回归估测方法”。这种方法是根据林业调查的特点,按数量化方法I所设计的一种等权抽样模型。本文将简单介绍这种模型和适用于这种模型的误差估计公式。 In forest resources surveys, we can estimate the main factors that need to be investigated based on some readily identifiable cofactors. When some of these cofactors are “unmeasurable” factors (eg tree species, site indices, etc.) and the major factor is a “measurable” factor (eg, stock volume), a “quantitative regression estimation method ”. This method is based on the characteristics of forestry surveys, according to quantitative method I designed a kind of equal weight sampling model. This article will give a brief introduction of this model and the error estimation formula that applies to this model.