R-ESTIMATION OF THE PARAMETERS OF AUTOREGRESSIVE [AR(P)] MODELS

成果类型:
Article
署名作者:
KOUL, HL; SALEH, AKME
署名单位:
Carleton University
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/aos/1176349041
发表日期:
1993
页码:
534-551
关键词:
regression
摘要:
In an AR(p) model, R-estimation of a subset of parameters is considered when the complementary subset is possibly redundant. Along with the rank test of the full hypothesis and the subhypothesis of the parameters, both preliminary test and shrinkage R-estimators are considered. In the light of asymptotic distributional risks, the relative asymptotic risk-efficiency results are given. Though, the shrinkage R-estimator may dominate their classical versions, they do not in general dominate the preliminary test R-estimators.