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一、引言用t代表树木的年龄,用Y_t表示相应的总生长量。对于所作的n次等间隔的观察Y_k,Y_(2k),……,Y_(nk),在回归分析中一般假定它们是一组相互独立的随机变量,根据观察数据y_k,y_(2k),……,y_(nk)建立回归方程,来预测nk+m年龄时的总生长量Y_(nk+m),并且一般并不对Y_(nk+m)的估计量提出要求。但是总生长量序列Y_k,Y_(2k),…,Y_(nk)一般不是相互独立的,而是存在着统计联系,因而可以利用这种联系的统计规律由Y_k,Y_(2K),…,Y_(nk)来预测Y_(nk+m),并
I. INTRODUCTION The age of trees is represented by t, and the corresponding total amount of growth is represented by Y_t. For the n equally spaced observations Y_k, Y_ (2k), ..., Y_ (nk), it is generally assumed in the regression analysis that they are a set of mutually independent random variables. Based on the observed data y_k, y_ (2k) ..., y_ (nk) to establish the regression equation to predict the total growth Y_ (nk + m) at age nk + m, and generally does not demand the estimate of Y_ (nk + m). However, the total growth sequence Y_k, Y_ (2k), ..., Y_ (nk) are generally not independent of each other, but there is a statistical relationship, so we can make use of the statistical law of this connection from Y_k, Y_ (2K) Y_ (nk) to predict Y_ (nk + m), and