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Further results on optimal critical values of pre-test when estimating the regression error variance
Wan, ATK; Zou, G; Ohtani, K
2006
发表期刊ECONOMETRICS JOURNAL
ISSN1368-4221
卷号9期号:1页码:159-176
摘要This paper enlarges on results of Wan and Zou [Journal of Econometrics 114 (2003), 165-96] on the choice of critical values for pre-test procedures based on the minimum risk criterion. We consider a modi. cation of the general theorem given in Wan and Zou (2003) to obtain the optimal critical value that minimizes the risks of various inequality pre-test estimators of the regression error variance under a general class of first-order differentiable loss functions. Theoretical proofs of earlier numerical results are provided. This paper also presents results on the optimal pre-test critical values for the simultaneous estimation of the error variance and coefficient vector.
关键词entropy loss first-order differentiable inequality constraint Lebesgue integrable regression variance
DOI10.1111/j.1368-423X.2006.00180.x
语种英语
WOS研究方向Business & Economics ; Mathematics ; Mathematical Methods In Social Sciences
WOS类目Economics ; Mathematics, Interdisciplinary Applications ; Social Sciences, Mathematical Methods ; Statistics & Probability
WOS记录号WOS:000236275800007
出版者BLACKWELL PUBLISHING
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/2911
专题中国科学院数学与系统科学研究院
通讯作者Wan, ATK
作者单位1.City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
3.Kobe Univ, Fac Econ, Nada Ku, Kobe, Hyogo 657, Japan
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Wan, ATK,Zou, G,Ohtani, K. Further results on optimal critical values of pre-test when estimating the regression error variance[J]. ECONOMETRICS JOURNAL,2006,9(1):159-176.
APA Wan, ATK,Zou, G,&Ohtani, K.(2006).Further results on optimal critical values of pre-test when estimating the regression error variance.ECONOMETRICS JOURNAL,9(1),159-176.
MLA Wan, ATK,et al."Further results on optimal critical values of pre-test when estimating the regression error variance".ECONOMETRICS JOURNAL 9.1(2006):159-176.
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