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ESTIMATORS AND SOME BEHAVIORS FORA PARTIALLY LINEAR MODEL WITH CENSORED DATA 被引量:2

ESTIMATORS AND SOME BEHAVIORS FOR A PARTIALLY LINEAR MODEL WITH CENSORED DATA
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摘要 This paper considers the local linear regression estimators for partially linear model with censored data. Which have some nice large-sample behaviors and are easy to implement. By many simulation runs, the author also found that the estimators show remarkable in the small sample case yet. This paper considers the local linear regression estimators for partially linear model with censored data. Which have some nice large-sample behaviors and are easy to implement. By many simulation runs, the author also found that the estimators show remarkable in the small sample case yet.
作者 陈平
出处 《Acta Mathematica Scientia》 SCIE CSCD 1999年第3期321-331,共11页 数学物理学报(B辑英文版)
关键词 partial linear model censored data local linear smoothing cross-validation kernel estimator partial linear model censored data local linear smoothing cross-validation kernel estimator
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  • 1孟庆芳,张强,牟文英.混沌序列自适应多步预测及在股票中的应用[J].系统工程理论与实践,2005,25(12):62-68. 被引量:8
  • 2Altaleb A, Chauveau D. Bayesian analysis of the Logit model and comparison of two Metropolis-Hastings strategies [J]. Computational Statistics & Data Analysis, 2002,39(1) : 137 - 152.
  • 3Roberts G O,Rosenthal J S. Optimal scaling for various Metropolis-Hastings algorlthms[J]. Statistical Science, 2001, 6(4):351 - 367.
  • 4Geweke J, Tanizaki H. Note on the sampling distribution for the Metropolis-Hastings algorithm[J]. Communication in Statistics-Theory and Methods, 2003, 32(4) : 775 - 789.
  • 5Sawyer S. The Metropolitan-Hastings algorithm and extensions[ J ]. Washington University, April 17, 2004.
  • 6Chen P. Some nonparametric estimators and their properties under the competing risks case[J]. Sankhya: Indian J Statist Series A, 1998, 60(2) : 293 - 304.
  • 7Chen P, Yan F R, Wu Y Y, et al. Detection of oufliers in ARMAX time series models [ J ]. The 5th IIGSS Workshop, Wuhan. June, 2007, to appear.
  • 8Chen P, Chen Y. The Identification of Oufliers in ARMAX Models via Genetic Algorithm[J]. The 5th IIGSS Workshop, Wuhan June, 2007, to appear.
  • 9陈平,达庆利.运用SAS软件系统对我国农作物受灾及成灾面积的预测分析[J].系统工程理论与实践,2001,21(4):141-144. 被引量:8
  • 10陈平,王成震,周俊,刘萍.运用SAS软件对上证指数月线数据的综合预测分析[J].系统工程理论与实践,2003,23(6):36-41. 被引量:4

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