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Testing serial correlation in semiparametric varying coefficient partially linear errors-in-variables model
Authors:Xuemei Hu  Feng Liu  Zhizhong Wang
Affiliation:(1) Mathematics and Statistics College, Chongqing Technology and Business University, Chongqing, 400067, China;(2) School of Mathematics and Physics, Chongqing Institute of Technology, Chongqing, 400050, China;(3) School of Mathematics and Computing Technology, Central South University, Changsha, 410075, China
Abstract:The authors propose a V N, p test statistic for testing finite-order serial correlation in a semiparametric varying coefficient partially linear errors-in-variables model. The test statistic is shown to have asymptotic normal distribution under the null hypothesis of no serial correlation. Some Monte Carlo experiments are conducted to examine the finite sample performance of the proposed V N, p test statistic. Simulation results confirm that the proposed test performs satisfactorily in estimated size and power. This research is supported by the National Natural Science Foundation of China under Grant Nos. 10871217 and 40574003; the Science and Technology Project of Chongqing Education Committee under Grant No. KJ080609; the Doctor's Start-up Research Fund under Grant No. 08-52204; and the Youth Science Research Fund of Chongqing Technology and Business University under Grant No. 0852008.
Keywords:Asymptotic normality  local linear regression  measurement error  modified profile least squares estimation  partial linear model  testing serial correlation  varying coefficient model
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