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Title: Testing a sub-hypothesis in linear regression models with long memory covariates and errors (English)
Author: Koul, Hira L.
Author: Surgailis, Donatas
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940 (print)
ISSN: 1572-9109 (online)
Volume: 53
Issue: 3
Year: 2008
Pages: 235-248
Summary lang: English
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Category: math
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Summary: This paper considers the problem of testing a sub-hypothesis in homoscedastic linear regression models when the covariate and error processes form independent long memory moving averages. The asymptotic null distribution of the likelihood ratio type test based on Whittle quadratic forms is shown to be a chi-square distribution. Additionally, the estimators of the slope parameters obtained by minimizing the Whittle dispersion is seen to be $n^{1/2}$-consistent for all values of the long memory parameters of the design and error processes. (English)
Keyword: moving averages
Keyword: linear regression
Keyword: Whittle quadratic forms
Keyword: chi-square
MSC: 62E20
MSC: 62F12
MSC: 62J05
MSC: 62M07
MSC: 62M09
MSC: 62M10
MSC: 62M99
idZBL: Zbl 1198.62099
idMR: MR2411127
DOI: 10.1007/s10492-008-0007-z
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Date available: 2010-07-20T12:19:45Z
Last updated: 2020-07-02
Stable URL: http://hdl.handle.net/10338.dmlcz/140318
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