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复杂样本的方差估计——基于逆抽样设计的方法 被引量:3

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摘要 复杂样本的方差估计,通常采用的是随机组、刀切法等传统方法,本文提出采用逆抽样设计方法。基于一个实际调查数据的模拟分析,通过对抽样方法进行逆设计,构造了对应的方差估计量,并从精度、灵活性等方面将逆抽样设计方法与传统方差估计方法进行多角度对比,探讨了该方法的适用条件。
出处 《数据》 2009年第11期58-60,共3页 DATA
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参考文献1

  • 1(美)[K.M.沃尔特]KirkM.Wolter著,王吉利,李毅主.方差估计引论[M]中国统计出版社,1998.

同被引文献26

  • 1郑京平.Bootstrap方法在复杂抽样中的应用[J].统计研究,1987,4(1):55-60. 被引量:4
  • 2刘进涛,王万森.对于模糊ARTMAP的研究及改进[J].计算机技术与发展,2006,16(11):16-18. 被引量:1
  • 3金勇进,侯志强,薛芳.刀切法在我国劳动力调查方差估计中的应用[J].统计研究,2007,24(1):75-78. 被引量:11
  • 4Hurdle E. E, Bartlett L. M, Andrews J. D. Fault diagnostics of dynamic system operation using a fault tree based method [J]. Reliability Engineering and System Safety, 2009, 94 (9): 1371-1380.
  • 5Tariq Assaf, Joanne Bechta Dugan. Automatic Generation of Diagnostic Expert Systems from Fault Trees. Annual workshop on reliability and maintainability, 2008: 143-147.
  • 6Wang Dejun, Xiug Tianliang, Lin Chengdong, ctal. Fault diagnosis of automobile engine based on support vector machine.2011 3rd International Conference on Advanced Computer Control, ICACC2011, p320-324, 2011.
  • 7XuanyinWang, XiaoxiaoLi, FushangLi.Analysis on oscillation in electro-hydraulic regulating system of steam turbine and fault diagnosis based on PSOBP. Expert Systems with Applications, v 37, n 5, p3887-3892, May 2010.
  • 8Jay A. Swope.ARTdECOS, adaptive evolving connctionist model and application to heart rate variability. Evolving Systems.DOI.. 10.1007/s 12530-012-9049-20.
  • 9Xuan Hou. Research on quantum adaptive resonance theory neural network.Proceedings of 2011 International Conference on Eleclronic and Mechanical Engineering and Information Technology, ENIEIT2011, vS, p3885-3888.
  • 10Kim, Cheoltaek, Lee, Ju-Jang. Incremental learning framework for function approximation via combining mixture of expert model and adaptive resonance theory. Proceedings of the 2007 IEEE international Conference on Mechatronics and Automation, ICMA 2007, p 3486-3491.

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