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利用调查数据中完全辅助信息的广义模型校正方法
  • ISSN号：0465-7942
  • 期刊名称：《南开大学学报：自然科学版》
  • 时间：0
  • 分类：O212.2[理学—概率论与数理统计;理学—数学]
  • 作者机构：[1]南开大学数学科学学院,天津300071, [2]嘉兴学院数学与信息科学学院,浙江嘉兴314001
  • 相关基金：Supported by NNSF of China （10571093） ; Scientific Research Fund of Zhejiang Provincial Education Department （20061599）
作者： 伍长春[1,2], 张润楚[1]
关键词： 广义模型校正, 完全辅助信息, 线性与双线性参数, 广义回归估计, KRONECKER积, extended model calibration , complete auxiliary information , linear and bilinear parameter , generalized regression estimator, Kronecker product
中文摘要：

推广了模型校正方法去估计总体和均值以外的总体参数．建议的模型校正估计可以处理任何线性或非线性的工作模型，且在线性模型的情形下变为广义回归估计．通过Kronecker积，可把模型校正方法用于估计双线性参数，特别地，去估计方差和协方差．

英文摘要：

By viewing model-calibration as an algebraic problem, the model-calibration technique to estimate population parameters other than totals and means is extended. The proposed model-calibration estimators can handle any linear or nonlinear working models and reduce to the generalized regression estimators in the linear model case. It is shown that how through the Kronecker product the model-calibration approach can be used to estimate bilinear parameters, in particular, to estimate variances and covariances.

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期刊信息
  • 《南开大学学报：自然科学版》
  • 中国科技核心期刊
  • 主管单位:教育部
  • 主办单位:南开大学
  • 主编：田建国
  • 地址：天津南开区卫津路94号
  • 邮编：300071
  • 邮箱：
  • 电话：022-23501681
  • 国际标准刊号：ISSN：0465-7942
  • 国内统一刊号：ISSN：12-1105/N
  • 邮发代号:6-174
  • 获奖情况:
  • 中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘（网络版）,德国数学文摘,英国动物学记录,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:4822