期刊文献+

部分线性模型的随机约束岭估计 被引量:6

A Stochastic Restricted Ridge Regression Estimator in Partially Linear Models
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摘要 研究了部分线性回归模型附加有随机约束条件时的估计问题.基于Profile最小二乘方法和混合估计方法提出了参数分量随机约束下的Profile混合估计,并研究了其性质.为了克服共线性问题,构造了参数分量的Profile混合岭估计,并给出了估计量的偏和方差. This paper considers the estimation of a partially linear model when there are stochastic linear restrictions on the parameter components. Based on the profile least-squares approach and mixed regression estimaion, a profile mixed estimator for the parametric com- ponents was proposed and its properties was studied. Furthermore, to overcome the multicollinearity problem, a profile mixed ridge estimator for the parametric components was proposed and its bias and covariance were provided.
出处 《数学的实践与认识》 CSCD 北大核心 2014年第13期249-254,共6页 Mathematics in Practice and Theory
基金 国家自然科学基金(11301565) 北京高等学校"青年英才计划"项目(YETP1316) 中国人民大学科学研究基金(中央高校基本科研业务费专项资金资助)项目(14XNH105)
关键词 部分线性模型 多重共线性 随机线性约束 Profile最小二乘估计 混合估计 岭回归估计 Partially linear model Multicollinearity Stochastic linear restrictions Profile least-squares approach Mixed estimator Ridge regression estimator
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参考文献14

  • 1Durbin J. A note on regression when there is extraneous information about one of the coefficients[J]. Journal of the American Statistical Association, 1953, 48: 799-808.
  • 2Theil H, Goldberger A S. On pure and mixed statistical estimation in economics[J]. International Economic Review, 1961, 2: 65-78.
  • 3Theil H. On the use of incomplete prior information in regression analysis[J]. J Amer Statist Assoc, 1963, 58: 401-414.
  • 4Engle R F, Granger W J, Rice J, Weiss A. Semiparametric estimates of the relation between weather and electricity sales[J]. J Amer Statist Assoc, 1986, 80:310-319.
  • 5Hu H C. Ridge estimation of semiparametric regression model[J]. J Computat Appl Math, 2005, 176: 215-222.
  • 6Akdeniz F, Tabakan G. Restricted ridge estimators of the parameters in semiparametric regression model[J]. Commun Stat Theory Methods, 2009, 38(11): 1852-1869.
  • 7Roozbeh M, Arashi M, Niroumand H A. Ridge regression methodology in partial linear models with correlated errors[J]. J Star Comput Simul, 2011, 81: 517-528.
  • 8Ozkaie M R. A stochastic restricted ridge regression estimator[J]. Journal of Multivariate Analysis, 2009, 100(8): 1706-1716.
  • 9Donald G, Newey K. Series estimation of semilinear models[J]. J Multi Anal, 1994, 50: 30-40.
  • 10Heckman N. Spline smoothing in a partially linear model[J]. J Roy Statist Soc Ser B, 1986, 48: 244-248.

同被引文献27

  • 1魏传华,吴喜之.部分线性变系数模型Backfitting估计的渐近性质[J].高校应用数学学报(A辑),2008,23(2):227-234. 被引量:3
  • 2蓝文英.部分线性可加模型基于backfitting方法的岭估计[J].中央民族大学学报(自然科学版),2013,22(S1):68-71. 被引量:1
  • 3OPSOMER,J D,RUPPERT, D. A root-n consistent backfitting estimator for semiparametric additive modelling [ J]. Comput. Graph. Statist. 1999, 8:715 - 732.
  • 4LI, Q. Efficient estimation of additive partially linear models[ J]. International Economics Review, 2002, (41) : 1073 - 1092.
  • 5MANZANA,S, ZEROMB, D. Kernel estimation of a partially linearadditive model[ J]. Statistics and Probability Letters, 2005, (72) :313 -322.
  • 6LIU, X, WANG, L, LIANG, H. Estimation and variableselection for semiparametric additive partial linear model[ J ]. StatisticaSinica, 2011, 21 ( 3 ) : 1225 - 1248.
  • 7WEI, C H,LIU,C L. Statistical inference on semiparametric partially Linear additive models[ J ]. Journal of Nonparametric Statistic, 2012,24 ( 4 ) : 809 - 823.
  • 8LIANG,H, THURSTON, S, RUPPERT, D, APANASOVICH, T. Additive partial linear models withmeasurement errors [J]. Biometrika, 2008, (95) :667 -678.
  • 9AKDENZ, F, TABAKAN,G. Restricted ridge estimators of the parameters in semiparametric regression model[ J l. Communications in Statistics-Theory and Methods, 2009,38 ( 11 ) , 1852 - 1869.
  • 10AKDENIZ,FIKRI, DURAN, ESRAAKDENIZ. Liu-type estimator in Smiparametric regression models [ J]. Journal of Statistical Computation and Simulation ,2010,80( 8 ) :853 - 871.

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