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Properties of the explicit estimators in the extended growth curve model
Hu, Jianhua
刊名STATISTICS
2010
卷号44期号:5页码:477-492
关键词estimation inverse Wishart distribution least squares method the extended growth curve model trace unbiasedness uniformly minimum variance unbiased invariant estimator
ISSN号0233-1888
DOI10.1080/02331880903236884
英文摘要Let Y = Sigma(k)(i=1) X(i) Theta(i) Z'(i) + epsilon be the extended growth curve model with error matrix epsilon distributed as a normal distribution with mean 0 and covariance I circle times Sigma, subject to some specified conditions. A quadratic statistic (Sigma) over cap (Y), distributed as a Wishart distribution, is proposed and proved to be a uniformly minimum variance unbiased invariant estimator of the second-order parameter matrix Sigma. In addition, unbiased and explicit estimators (Theta) over cap (i) (Y) of the first-order parameter matrices Theta(i) are given. And explicit formulae to compute the traces of the covariance matrices of (Theta) over cap (i)(Y) are derived.
WOS研究方向Mathematics
语种英语
出版者TAYLOR & FRANCIS LTD
WOS记录号WOS:000284631900004
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/2425]  
专题上海财经大学
通讯作者Hu, Jianhua
作者单位Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China
推荐引用方式
GB/T 7714
Hu, Jianhua. Properties of the explicit estimators in the extended growth curve model[J]. STATISTICS,2010,44(5):477-492.
APA Hu, Jianhua.(2010).Properties of the explicit estimators in the extended growth curve model.STATISTICS,44(5),477-492.
MLA Hu, Jianhua."Properties of the explicit estimators in the extended growth curve model".STATISTICS 44.5(2010):477-492.
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