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Author:

Yin, SJ (Yin, SJ.) | Wang, SG (Wang, SG.)

Indexed by:

Scopus SCIE CSCD

Abstract:

When an independent estimate of covariance matrix is available, we often prefer two-stage estimate (TSE). Expressions of exact covariance matrix of the TSE obtained by using all and some covariables in covariance adjustment approach are given, and a necessary and sufficient condition for the TSE to be superior to the least square estimate and related large sample test is also established. Furthermore the TSE, by using some covariables, is expressed as weighted least square estimate. Basing on this fact, a necessary and sufficient condition for the TSE by using some covariables to be superior to the TSE by using all covariables is obtained. These results give us some insight into the selection of covariables in the TSE and its application.

Keyword:

covariance adjusted estimate canonical correlation coefficients stage estimate

Author Community:

  • [ 1 ] Beijing Univ Technol, Coll Appl Sci, Beijing 100022, Peoples R China

Reprint Author's Address:

  • [Yin, SJ]Beijing Univ Technol, Coll Appl Sci, Beijing 100022, Peoples R China

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Source :

ACTA MATHEMATICA SINICA-ENGLISH SERIES

ISSN: 1439-8516

Year: 2006

Issue: 1

Volume: 22

Page: 283-288

0 . 7 0 0

JCR@2022

ESI Discipline: MATHEMATICS;

JCR Journal Grade:3

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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