| 基于时间序列分析方法的连续性抽样调查研究 |
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| 引用本文： | 陈光慧,刘建平. 基于时间序列分析方法的连续性抽样调查研究[J]. 统计与信息论坛, 2008, 23(3): 15-18 |
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| 作者姓名： | 陈光慧 刘建平 |
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| 作者单位： | 暨南大学,经济学院,广东,广州,510632 |
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| 摘 要： | 针对连续性抽样调查中如何利用过去各期的调查信息来提高现期抽样估计精度的问题,引入时间序列分析方法,分别考虑连续性抽样调查中重复样本和重叠样本等不同情况,建立了不同情况下的时间序列模型,利用成熟的时间序列分析方法给出了总体特征的线性组合估计量。由于时间序列分析方法能够充分利用以往各期的调查信息,从而能够给出精度更高的估计量。
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| 关 键 词： | 时间序列 连续性抽样 样本轮换 ARMA模型 |
| 文章编号： | 1007-3116(2008)03-0015-04 |
| 修稿时间： | 2007-11-13 |
Successive Sampling Survey on the Basis of the Method of Time Series Analysis |
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| CHEN Guang-hui,LIU Jian-ping. Successive Sampling Survey on the Basis of the Method of Time Series Analysis[J]. Statistics & Information Tribune, 2008, 23(3): 15-18 |
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| Authors: | CHEN Guang-hui LIU Jian-ping |
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| Affiliation: | (School of Economics, Jinan University, Guangzhou 510632, China) |
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| Abstract: | This paper uses the time series theory to improve the precision of sampling estimation under successive sampling. Different time series models are constructed on the basis of non - overlapping sample and overlapping sample and linear composite estimators are presented through time series analysis. These linear composite estimators would be more precise because more past information can be used. |
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| Keywords: | time series successive sampling sample rotation ARMA model |
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