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不跨越边界基于Horvitz-Thompson估计量的分层自适应群团抽样
引用本文:朱光玉,唐守正,雷渊才.不跨越边界基于Horvitz-Thompson估计量的分层自适应群团抽样[J].林业科学,2010,46(7).
作者姓名:朱光玉  唐守正  雷渊才
作者单位:1. 中国林业科学研究院资源信息研究所,北京,100091;中南林业科技大学林业遥感信息工程研究中心,长沙,410004
2. 中国林业科学研究院资源信息研究所,北京,100091
基金项目:国家自然基金项目,科技部社会公益研究专项项目,国家林业局"948"引进项目,中南林业科技大学人才引进项目 
摘    要:提出一种新的不跨越边界的基于Horvitz-Thompson估计量的分层自适应群团抽样方法,给出其估计量公式,并证明其无偏性。将9种抽样方法(简单随机抽样、分层简单随机抽样、基于修正Hansen-Hurwitz估计量的ACS、基于修正Horvitz-Thompson估计量的ACS、跨越边界基于Hansen-Hurwitz估计量的ACSI、跨越边界基于Hansen-Hurwitz估计量的ACSII、不跨越边界基于修正Hansen-Hurwitz估计量的ACS、跨越边界基于修正Horvitz-Thompson估计量的ACS、不跨越边界基于修正Horvitz-Thompson估计量的ACS)应用于中国乌兰布和沙漠边缘植被花棒密度调查,并对比9种抽样方法精度。结果表明:不跨越边界的基于Horvitz-Thompson估计量的分层自适应群团抽样的效果最佳;分层的抽样方法比不分层的抽样方法效率要高。

关 键 词:花棒  自适应群团抽样  分层自适应群团抽样  Horvitz-Thompson估计量  Hansen-Hurwitz估计量  模拟抽样  乌兰布和沙漠

Stratified Adaptive Cluster Sampling Based on the Adjusted Horvitz-Thompson Estimator with the Network Nonoverlapping Strata
Zhu Guangyu,Tang Shouzheng,Lei Yuancai.Stratified Adaptive Cluster Sampling Based on the Adjusted Horvitz-Thompson Estimator with the Network Nonoverlapping Strata[J].Scientia Silvae Sinicae,2010,46(7).
Authors:Zhu Guangyu  Tang Shouzheng  Lei Yuancai
Institution:Zhu Guangyu1,2 Tang Shouzheng1 Lei Yuancai1 (1. Institute of Forest Resources Information Techniques,CAF Beijing 100091,2. Research Center of Forestry Remote Sensing Information Engineering,Central South University of Forestry and Technology Changsha 410004)
Abstract:In this paper,a new stratified adaptive cluster sampling method is proposed based on the adjusted Horvitz-Thompson estimator with the network nonoverlapping strata. The mean and variance estimator are proved to be unbiased. Nine sampling methods were used for estimating the density of Hedysarum scoparium in Ulanbuh Desert edge in China, simple random sampling,stratified simple random sampling,adaptive cluster sampling based on the adjusted Hansen-Hurwitz estimator,adaptive cluster sampling based on the adju...
Keywords:Hedysarum scoparium  stratified adaptive cluster sampling  Horvitz-Thompson estimator  Hansen-Hurwitz estimator  simulation sampling  Ulanbuh Desert  
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