11. |
Diagnostics for Use With Regression Recursive Residuals |
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Technometrics,
Volume 33,
Issue 2,
1991,
Page 221-234
DouglasM. Hawkins,
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摘要:
Conventional regression case diagnostics use the fit of the regression model to all cases to assess the deviation of individual cases from the full sample. Unfortunately, as few as two bad cases can make these diagnostics completely unreliable. An alternative approach is that based on recursive fitting, in which the sample is stripped away case by case and the regression refitted after each deletion until there are only as many cases as parameters. Recursive residuals are residuals obtained from these successive recursive fits. They are particularly effective for diagnosis when the assumptions of the regression model do not hold for the full data set but do hold after some “bad” cases are stripped away. Conventional regression case diagnostics provide not only residuals but also measures of leverage and influence, and in this article, I propose analogous single-case diagnostics for use with recursive fitting. Furthermore, since recursive fitting focuses on the compatibility of various subregressions with the full regression, it is also important to have cumulative measures that assess the leverage, mean compatibility, and influence of all excluded cases; measures of these quantities are also defined. The diagnostics are applied successfully to one artificially constructed data set and to another data set from the literature, and it is shown how they provide useful insights into the fit of the model.
ISSN:0040-1706
DOI:10.1080/00401706.1991.10484809
出版商:Taylor & Francis Group
年代:1991
数据来源: Taylor
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12. |
Quality Engineering Using Robust Design |
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Technometrics,
Volume 33,
Issue 2,
1991,
Page 235-236
Tom Menten,
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ISSN:0040-1706
DOI:10.1080/00401706.1991.10484810
出版商:Taylor & Francis Group
年代:1991
数据来源: Taylor
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13. |
Accelerated Testing: Statistical Models, Test Plans, and Data Analyses |
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Technometrics,
Volume 33,
Issue 2,
1991,
Page 236-238
WilliamQ. Meeker,
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ISSN:0040-1706
DOI:10.1080/00401706.1991.10484811
出版商:Taylor & Francis Group
年代:1991
数据来源: Taylor
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14. |
Handbook of Statistical Methods for Engineers and Scientists |
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Technometrics,
Volume 33,
Issue 2,
1991,
Page 238-239
AnneM. Barker,
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PDF (301KB)
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ISSN:0040-1706
DOI:10.1080/00401706.1991.10484812
出版商:Taylor & Francis Group
年代:1991
数据来源: Taylor
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15. |
Robust Regression: Analysis and Applications |
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Technometrics,
Volume 33,
Issue 2,
1991,
Page 239-240
David Fairley,
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ISSN:0040-1706
DOI:10.1080/00401706.1991.10484813
出版商:Taylor & Francis Group
年代:1991
数据来源: Taylor
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16. |
Handbook of Nonlinear Regression Models |
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Technometrics,
Volume 33,
Issue 2,
1991,
Page 240-241
EricR. Ziegel,
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ISSN:0040-1706
DOI:10.1080/00401706.1991.10484814
出版商:Taylor & Francis Group
年代:1991
数据来源: Taylor
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17. |
Categorical Data Analysis |
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Technometrics,
Volume 33,
Issue 2,
1991,
Page 241-241
DavidE. Hapeman,
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ISSN:0040-1706
DOI:10.1080/00401706.1991.10484817
出版商:Taylor & Francis Group
年代:1991
数据来源: Taylor
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18. |
Analysis of Binary Data (2nd ed.) |
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Technometrics,
Volume 33,
Issue 2,
1991,
Page 242-243
EricR. Ziegel,
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ISSN:0040-1706
DOI:10.1080/00401706.1991.10484819
出版商:Taylor & Francis Group
年代:1991
数据来源: Taylor
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19. |
Empirical Bayes Methods |
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Technometrics,
Volume 33,
Issue 2,
1991,
Page 243-245
JohnE. Angus,
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ISSN:0040-1706
DOI:10.1080/00401706.1991.10484821
出版商:Taylor & Francis Group
年代:1991
数据来源: Taylor
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20. |
Bayesian Statistics 3 |
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Technometrics,
Volume 33,
Issue 2,
1991,
Page 245-245
EricP. Fox,
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PDF (154KB)
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ISSN:0040-1706
DOI:10.1080/00401706.1991.10484822
出版商:Taylor & Francis Group
年代:1991
数据来源: Taylor
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