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›› 1994, Vol. 30 ›› Issue (3): 220-224.

• 论文及研究报告 • Previous Articles     Next Articles

STUDY OF THE APPLICATION OF NONLINEAR REGRESSION ANALYSIS TO EVALUATE SITE QUALITY AND TO PRIDICT TREE HEIGHT

Yu Hongbo,Wang Junjie,He Chunxiong,Shi Zhihe,Luan Wenju   

  1. Research Institute ot Forestry, Gansu Province Lanzhou 730020;Department of Mathematics, Gansu Education College Lanshou 730000;Department of Forestry, Gansu Agricultural University Lanzhou 730070
  • Received:1993-02-20 Revised:1900-01-01 Online:1994-05-25 Published:1994-05-25

Abstract: Following the quantification theory I,a new non-linear regression model is established as follows:where Y for tree height;t,tree age and x, site factor. In the model parameters could be calculated with the improved Gauss-Newton iteration method. This statistical model could not only be utilized to evaluate site quality but also precisely to predict height growth and site productivity for the different aged stands. The statistica; accuracy could be obviously increased using this model in multiple correlation ratios were 0.9298 and 0.7904, residuals 1.0955 and 1.9636, respectively.

Key words: Quantification theory, Non-linear regression, Iteration, LS-estimation