干旱区生态环境知识资源中心(Arid): 不跨越边界基于Horvitz-Thompson估计量的分层自适应群团抽样

Arid

	不跨越边界基于Horvitz-Thompson估计量的分层自适应群团抽样
其他题名	Stratified Adaptive Cluster Sampling Based on the Adjusted Horvitz-Thompson Estimator with the Network Nonoverlapping Strata
	朱光玉; 唐守正; 雷渊才
来源期刊	林业科学
ISSN	1001-7488
出版年	2010
卷号	46 期号:7 页码:1-6
中文摘要	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
英文摘要	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 adjusted Horvitz-Thompson estimator, stratified adaptive cluster sampling I (ACSI) based on the adjusted Hansen-Hurwitz estimator with the network overlapping strata, stratified adaptive cluster sampling II (ACSII) based on the adjusted Hansen-Hurwitz estimator with the network overlapping strata, stratified adaptive cluster sampling based on the adjusted Horvitz-Thompson estimator with the network overlapping strata, stratified adaptive cluster sampling based on the adjusted Horvitz-Thompson estimator with the network nonoverlapping strata. The precisions of the nine sampling methods were compared. The result showed that the new stratified adaptive cluster sampling method based on the adjusted Horvitz-Thompson estimator with the network nonoverlapping strata was more effective than the others, and the sampling in stratified populations was more effective than the sampling in non-stratified populations
中文关键词	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
英文关键词	Hedysarum scoparium stratified adaptive cluster sampling Horvitz-Thompson estimator Hansen-Hurwitz estimator simulation sampling Ulanbuh Desert
语种	中文
国家	中国
收录类别	CSCD
WOS类目	FORESTRY
WOS研究方向	Forestry
CSCD记录号	CSCD:3995316
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/225370
作者单位	中国林业科学研究院资源信息研究所, 北京 100091, 中国
推荐引用方式 GB/T 7714	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],2010,46(7):1-6.
APA	朱光玉,唐守正,&雷渊才.(2010).不跨越边界基于Horvitz-Thompson估计量的分层自适应群团抽样.林业科学,46(7),1-6.
MLA	朱光玉,et al."不跨越边界基于Horvitz-Thompson估计量的分层自适应群团抽样".林业科学 46.7(2010):1-6.