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单木生物量模型误差分析与定权方法探讨
引用本文:郭清文,冯仲科,张彦林,韩光瞬. 单木生物量模型误差分析与定权方法探讨[J]. 中南林业调查规划, 2006, 25(1): 5-9
作者姓名:郭清文  冯仲科  张彦林  韩光瞬
作者单位:1. 北京林业大学资源与环境学院,北京,100083
2. 北京林业大学资源与环境学院,北京,100083;甘肃林业职业技术学院
基金项目:国家科技攻关项目;中国科学院资助项目;北京市自然科学基金
摘    要:长久以来.在林业上人们总是习惯于从已直接观测到的数据的拟合情况来选择生物量数学模型、讨论模型的精度,而缺乏对生物量数据本身的误差分析,因而很容易导致生物量数学模型在参数估计上产生偏差。因此,文章从生物量数据的获取着手,引入误差理论,详细地分析了生物量测定的误差来源,并由此详细讨论了在单木生物量模型建立过程中生物量测定误差和生物量数学模型误差的影响。同时引入了误差传播定律、协方差传播定律,从而在理论上证明了生物量拟合误差随自变量增大而增大的异方差性分布特点:根据生物量异方差性的误差分布特点,对生物量模型解算过程中的合理选权问题进行了探讨。

关 键 词:生物量  误差分析  随机模型  稳健估计  定权
文章编号:1003-6075(2006)01-0005-05
收稿时间:2005-11-07
修稿时间:2005-12-15

Error Theory and Weighted-calculation Method on Single- Tree Biomass Model
GUO Qing-wen,FENG Zhong-ke,ZHANG Yan-lin,HAN Guang-shun. Error Theory and Weighted-calculation Method on Single- Tree Biomass Model[J]. Central South Forest Inventory and Planning, 2006, 25(1): 5-9
Authors:GUO Qing-wen  FENG Zhong-ke  ZHANG Yan-lin  HAN Guang-shun
Affiliation:1. School of Resource and Environment, Beijing Forestry University, Beijing 100083, China;2. Gansu Forestry Polytechnic, China
Abstract:For a long term,in forestry research,people are always accustomed to choosing biomass model and discussing model precision according to direct data they obtained from their experiments. To discard the surveying error in their data leads to model parameter warp. Therefore, in this paper, authors have analyzed single tree biomass error source from forestry biomass surveying in detail. And, two influences both from surveying error and model error are presented. Least square estimation and robust estimation methods are all introduced to solve the problems of weighted-calculation in the study.
Keywords:biomass   error analysis   random model   robust estimation   weighted-calculation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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