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自助法和刀切法在森林调查中的应用
引用本文:李青,魏迅,李峰,刘剑平,高景伟,张宝峰,曲增禄. 自助法和刀切法在森林调查中的应用[J]. 高师理科学刊, 1993, 0(2)
作者姓名:李青  魏迅  李峰  刘剑平  高景伟  张宝峰  曲增禄
作者单位:齐齐哈尔林校(李青,魏迅,刘剑平),黑龙江省防护林研究所(李峰),甘南林业局(高景伟),碾子山林业局(张宝峰),齐齐哈尔林校(曲增禄)
摘    要:自助法和刀切法是在小样本条件下对总体进行估计的非参数统计方法.本文除介绍其基本原理外,主要是阐述其在小样本条件下估算胸径、冠幅、材积、树高。根径等森林调查因子和可行性.从结果看,利用这两种方法估算有关森林调查因子是令人满意的,精度都在83%以上.

关 键 词:自助法  刀切法  抽样调查  森林

Application of Bootstrap and Jackknife in Forest Investigation
Li Qing Wei Xun. Application of Bootstrap and Jackknife in Forest Investigation[J]. Journal of Science of Teachers'College and University, 1993, 0(2)
Authors:Li Qing Wei Xun
Abstract:Bootstrap and Jackknife are statistical methods of non-parameter under the condition of small - samples on the estimated population. This paper gives an introduction of Bootstrap and Jackknife,and estimates some forest factors of investigation-breast diameter,crown diameter,volume,tree heightandstump diameter,etc. under the condition mainly. Besides,the basic principles areintroduced.The results show that the methods are satisfactory to estimate someforest factors of investigation. Both of the precisions are over 83 per cent.
Keywords:Bootstrap Jackknife Sampling investigation Forest  
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