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随机右删失非参数回归模型的影响分析

Influence Analysis of Non-parametric Regression Model with Random Right Censorship
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摘要 将随机删失非参数固定设计回归模型转化为非参数回归模型进行研究;然后对此模型作了局部影响分析,得到计算影响矩阵及最大影响曲率方向的简洁公式;最后通过实例分析,验证了分析方法的有效性. In this paper, the primary model is transformed to non-parametric regression model; Then, local influence is discussed and concise influence matrix is obtained; At last, example is given to illustrate our results.
出处 《数学的实践与认识》 CSCD 北大核心 2012年第3期73-77,共5页 Mathematics in Practice and Theory
基金 国家社会科学基金(09BTJ004)
关键词 随机右删失 Kaplan—Meier乘积限估计 光滑样条 影响分析 random right censorship kaplan-meier product-limit estimator smoothing spline influence analysis
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参考文献11

  • 1Cook R D. Assessment of Local Influence(with discussion) [J]. J R Statist Soc (Series B), 1986, 48: 133-169.
  • 2Cook R D and Weisberg S. Residuals and Influence in Regression[M]. New York: Chapman and Hall, 1982.
  • 3韦博成,鲁国斌,史建清.统计诊断引论[M](第1版).南京:东南大学出版社,1990.
  • 4Eubank R L. Diagnostics for smoothing spline[J]. J R Statist Soc (Series B) , 1985(47): 322-341.
  • 5Eubank R L. The hat matrix for smoothing spline[J]. Statist & Probab Lett, 1984(2): 9-16.
  • 6Eubank R L, Gunst R F. Diagnostic for penalized least- squares estimators[J]. Statist &Probab Lett, 1986(4): 265-272.
  • 7Kim C. Cook's distance in spline smoothing[J]. Statist & Probab Lett, 1996(31): 139-144.
  • 8Escobar L A, Meeker W Q. Assessing influence in regression analysis with censored data[J]. Biometrics, 1992(48): 507-528.
  • 9Wahba G. A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem[J]. The Annals of Statistics, 1985, 13(4): 1378-1402.
  • 10Green P J and Silverman B W. Nonparametric Regression and Generalized Linear Models[M]. London:Chapman and Hall, 1994.

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