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Author  |
Liu, S.Z.; Leiva, V.; Ma, T.F.; Welsh, A. |
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Title |
Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions |
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Year |
2016 |
Publication |
Statistical Methods And Applications |
Abbreviated Journal |
Stat. Method. Appl. |
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Volume |
25 |
Issue |
2 |
Pages |
227-249 |
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Keywords |
Information matrix; Local influence; Restricted least-squares estimator; Restricted maximum likelihood estimator |
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Abstract |
The local influence method has proven to be a useful and powerful tool for detecting influential observations on the estimation of model parameters. This method has been widely applied in different studies related to econometric and statistical modelling. We propose a methodology based on the Lagrange multiplier method with a linear penalty function to assess local influence in the possibly heteroskedastic linear regression model with exact restrictions. The restricted maximum likelihood estimators and information matrices are presented for the postulated model. Several perturbation schemes for the local influence method are investigated to identify potentially influential observations. Three real-world examples are included to illustrate and validate our methodology. |
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Address |
[Liu, Shuangzhe] Univ Canberra, Fac Educ Sci Technol & Math, Canberra, ACT 2601, Australia, Email: shuangzhe.liu@canberra.edu.au; |
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Publisher |
Springer Heidelberg |
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Language |
English |
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Series Volume |
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Edition |
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ISSN |
1618-2510 |
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Notes |
WOS:000376996500004 |
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Call Number |
UAI @ eduardo.moreno @ |
Serial |
632 |
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