Correlation analysis between stand growth factors and volume of stand using generalized linear models

Abstract

As for simulating stand growth Model, the classical linear models often failed to explain the discrete component of data. However, some discrete variables really influence the stand growth. In this research, this paper describes the use of the generalized linear model for analyzing linear and non-linear effects of continuous and discrete predictor variables on a continuous dependent variable. The relationship between stand growth characters and volume of stands was discussed as a case study. Through analyzing attribute of the 1046 stander samples, generalized linear models to the analysis of stand growth data was proposed. A class of estimating equations was introduced, and consistent estimates of the regression parameters were given. All the results of tests were significance. © 2013 Springer-Verlag.