Title
Testing serial correlation in semiparametric varying coefficient partially linear errors-in-variables model.
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.
Year
DOI
Venue
2009
10.1007/s11424-009-9180-8
J. Systems Science & Complexity
Keywords
Field
DocType
modifled proflle least squares estimation,varying coe-cient model.,asymptotic normality,varying coefficient model,testing serial correlation,local linear regression,measurement error,partial linear model,modified profile least squares estimation,serial correlation
Errors-in-variables models,Normal distribution,Mathematical optimization,Monte Carlo method,Test statistic,Simple linear regression,Coefficient of determination,Statistics,Mathematics,Autocorrelation,Asymptotic distribution
Journal
Volume
Issue
ISSN
22
3
15597067
Citations 
PageRank 
References 
2
0.57
1
Authors
6
Name
Order
Citations
PageRank
xuemei120.57
hu220.57
feng320.57
liu420.57
Zhizhong Wang5496.30
Zhizhong Wang6496.30