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基于约束最小二乘估计的影响分析

Influence analysis based on constrained least squares estimator
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摘要 研究了一类约束条件下的线性回归模型。首先,用Lagrange乘子法得到了刀切约束最小二乘估计;然后,定义了用于影响分析的Cook统计量,并得到了近似Cook统计量;最后,用算例说明了近似Cook统计量的有效性。 In the paper,we investigate a linear regression model with constraint conditions.Firstly,we obtain jackknife constrained least squares estimator by the Lagrange multiplier method.Secondly,we give the definition of Cook's statistic for influence analysis,and obtain the approximate Cook's statistic.At last,by an example,it is shown that the approximate Cook's statistic is valid.
出处 《湖北师范学院学报(自然科学版)》 2012年第4期28-32,共5页 Journal of Hubei Normal University(Natural Science)
关键词 约束最小二乘估计 线性回归模型 Cook统计量 影响分析 constrained least squares estimator linear regression model Cook's statistic influence analysis
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参考文献11

  • 1Guil GR, Engela B, Norberto C, et al. Least squares estimation of linear regression models for convex compact random sets[ J ]. Advances in Data Analysis and Classification ,2007, 1:67 -81.
  • 2Hampel F R, Ronchetti E M, Rousseeuw P J, ct al, Robust Statistics[ M ]. New York:John Wiley & Sons, 1986.
  • 3Li Y, Yang H. A new stochastic mixod ridge estimator in linear regression model[J]. Statistical papers,2010, 51 (2) : 315 -323.
  • 4SakaUiog]u S, Kaeiranlar S. A new biased esimator based on ridge estimation [ J ]. Statistieal Papers, 2008, 49:669 - 689.
  • 5Cook R D. Detection of influential observations in linear regression[ J ]. Technometrics, 1977, 19:15 - 18.
  • 6Vens M, Ziegler A. Generalized estimating equations and regression diagnostics for longitudinal controlled clinical trials: A case study[ J ]. Computational Statistics and Data Analysis, 2012, 56(5) :1232 - 1242.
  • 7Venezuela M K, Sandoval M C, Botter D A. Local influence in estimating equations[ J] Computational Statistics and Da- ta Analysis, 2011, 55 : 1867 - 1883.
  • 8Diaz- Gareia JA, Gonzalez- Farias G. A note on the Cook- distanee[ J]. Journal of Statistical Planning and Inference, 2004, 120:119-136.
  • 9Tiirkan S, Cetin MC, Toktamis O. Outlier detection by regression diagnostics based on robust parameter estimates [ J ]. Hacettepe Journal of Mathematics and Statistics, 2012,41 ( 1 ) : 147 - 155.
  • 10Belsley D A, Kuh E, Welsch R E. Regression Diagnostics: Identifying Influential Data and Sources of CoUinearity[M]. New York: John Wiley & Sons, 1980.

二级参考文献4

  • 1Cook R D. Detection of influential observation in linear regression [J]. Technometrics, 1977, 19: 15-18.
  • 2Cook R D and Weisberg S. Residuals and influence in regression [M]. New York: Chapman and Hall, 1982.
  • 3Daniel PENA. A New statistic for influence in linear regression [J]. Technometrics, 2005, 47(1): 1-12.
  • 4岳珠.加权最小二乘估计的影响探测[J].山西师大学报(自然科学版),1997,11(4):1-4. 被引量:1

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