A paradox in least-squares estimation of linear regression models

Statistics and Probability Letters

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Main Authors:	Bai, Z.D., Guo, M.
Other Authors:	STATISTICS & APPLIED PROBABILITY
Format:	Article
Published:	2014
Subjects:	Consistency Least-squares estimate Rth moment
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/104961
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-104961
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spelling	sg-nus-scholar.10635-1049612015-02-25T03:19:56Z A paradox in least-squares estimation of linear regression models Bai, Z.D. Guo, M. STATISTICS & APPLIED PROBABILITY Consistency Least-squares estimate Rth moment Statistics and Probability Letters 42 2 167-174 SPLTD 2014-10-28T05:09:28Z 2014-10-28T05:09:28Z 1999-04-01 Article Bai, Z.D.,Guo, M. (1999-04-01). A paradox in least-squares estimation of linear regression models. Statistics and Probability Letters 42 (2) : 167-174. ScholarBank@NUS Repository. 01677152 http://scholarbank.nus.edu.sg/handle/10635/104961 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
topic	Consistency Least-squares estimate Rth moment
spellingShingle	Consistency Least-squares estimate Rth moment Bai, Z.D. Guo, M. A paradox in least-squares estimation of linear regression models
description	Statistics and Probability Letters
author2	STATISTICS & APPLIED PROBABILITY
author_facet	STATISTICS & APPLIED PROBABILITY Bai, Z.D. Guo, M.
format	Article
author	Bai, Z.D. Guo, M.
author_sort	Bai, Z.D.
title	A paradox in least-squares estimation of linear regression models
title_short	A paradox in least-squares estimation of linear regression models
title_full	A paradox in least-squares estimation of linear regression models
title_fullStr	A paradox in least-squares estimation of linear regression models
title_full_unstemmed	A paradox in least-squares estimation of linear regression models
title_sort	paradox in least-squares estimation of linear regression models
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/104961
_version_	1681093200548200448

A paradox in least-squares estimation of linear regression models

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