Prediction of stem measurements of Scots pine

被引：6
|
作者：
Nummi, T [1 ]
Möttönen, J
机构：
[1] Univ Tampere, Dept Math Stat & Philosophy, Stat Unit, FIN-33014 Tampere, Finland
[2] Univ Oulu, Dept Math Sci Stat, Oulu, Finland
来源：
JOURNAL OF APPLIED STATISTICS | 2004年 / 31卷 / 01期
关键词：
cubic smoothing splines; forest harvesting; mixed models;
D O I：
10.1080/0266476032000148975
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
The aim of this study was to investigate prediction of stem measurements of Scots pine(Pinus sylvestris L.) for a modern computerized forest harvester. We are interested in the prediction of stem curve measurements when measurements of stems already processed and a short section of the stem under process are known. The techniques presented here are based on cubic smoothing splines and on multivariate regression models. One advantage of these methods is that they do not assume any special functional form of the stem curve. They can also be applied to the prediction of branch limits and stem height of pine stems.
引用
收藏
页码：105 / 114
页数：10
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