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具有随机缺失响应变量的广义半参数模型

Generalized partially linear models with missing data
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摘要 在响应变量随机缺失条件下,研究了广义半参数模型的拟似然估计方法,给出了缺失数据下的未知参数与非参数回归函数的拟似然估计,进一步求出了估计的渐近偏差和渐近方差,并证明了所给出的拟似然估计具有渐近正态性。 A local quasi-likelihood estimator for generalized semi-parametric models when the responses are missing at random is proposed. It is shown that the asymptotic biases are the same as when there no data are missing, while the variances are generally different. Furthermore, we demonstrate that the estimator has asymptotically normal properties.
出处 《北京化工大学学报(自然科学版)》 CAS CSCD 北大核心 2006年第4期109-112,共4页 Journal of Beijing University of Chemical Technology(Natural Science Edition)
基金 国家自然科学基金(10571008)
关键词 广义半参数模型 局部线性估计 随机缺失 渐近正态性 拟似然函数 generalized semi-parametric models local linear estimator missing at random asymptotically normal quasi-likelihood
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参考文献4

  • 1Little R J A,Rubin D B.Statistical analysis with missing data[M].New York:John Wiley,1987.
  • 2Fan J,Heckman N E,Wand M P.Local polynomial kernel regression for generalized linear models and quasilikelihood functions[J].J Amer Statist Assoc,1995,90:141-150.
  • 3Chen J W,Fan J Q,Li K H,et al.Local quasi-likelihood estimation with data missing at random[J].Statistica Sinaca,2006.http://www.orfe.princeton.edu/~jqfan/
  • 4Carroll R J,Fan J,Gijbels I,et al.Generalized partially linear single-index models[J].J Amer Statist Assoc,1997,92:477-489.

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