Abstract:

Taking weighting regression estimation method as the core, the heteroscedasticity of the general models used in forestry was discussed, and an optimal weight function was presented that could completely eliminate the unequal variance.Secondly, the model assessment was studied, and four important indices for commonly-used regression model assessment were presented, and the relationship between the four indices and weighting regression estimation was analysed.Finally, the collection of modelling sample was discussed, and the basic princinple for collecting sample data was presented.

Key words: Weighting regression, Modelling, Heteroscedasticity, M odel assessment