APPLICATION OF REGRESSION-ANALYSIS TO INVENTORY DATA WITH MEASUREMENTS ON SUCCESSIVE OCCASIONS

FOREST ECOLOGY AND MANAGEMENT

卷:71

Article; Proceedings Paper

关键词: REGRESSION ANALYSIS;    FOREST INVENTORY;    PERMANENT PLOT;    MODELING;   

DOI  :  10.1016/0378-1127(94)06103-P

来源: Elsevier

【 摘 要 】

Successive measurements from permanent forest plots have often been made as part of forest inventories. The data have then been used with regression analysis to develop forest yield prediction models. When ordinary least-squares (OLS) regression is used with such data sets, the parameter estimator is unbiased, but the estimator of the covariance matrix is negatively biased. This prevents the use of normal hypothesis tests of the fitted regression. This paper considers these problems and various approaches that have been used to deal with them. The use of a two-stage model building procedure is advocated to help find an appropriate model form to be used for the regression. It is concluded that the use of permanent sample plots with many remeasurements should be limited in collecting data for growth and yield model development and used primarily to assist in determining an appropriate form for the growth model.

【 授权许可】

Free