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A Comparison of Influence Diagnostics in Linear Mixed Models
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 Title & Authors
A Comparison of Influence Diagnostics in Linear Mixed Models
Lee, Jang-Taek;
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 Abstract
Standard estimation methods for linear mixed models are sensitive to influential observations. However, tools and concepts for linear mixed model diagnostics are rudimentary until now and research is heavily demanded in linear mixed models. In this paper, we consider two diagnostics to evaluate the effects of individual observations in the estimation of fixed effects for linear mixed models. Those are Cook`s distance and COVRATIO. Results of our limited simulation study suggest that the Cook`s distance is not good statistical quantity in linear mixed models. Also calibration point for COVRATIO seems to be quite conservative.
 Keywords
Cook`s distance;COVRATIO;Linear mixed models;
 Language
Korean
 Cited by
 References
1.
희귀분석, 1999.

2.
Technometrics, 1987. vol.29. pp.413-426 crossref(new window)

3.
Regression Diagnostics, 1980.

4.
Technometrics, 1992. vol.34. pp.38-44 crossref(new window)

5.
Technometric, 1977. vol.19. pp.15-18 crossref(new window)

6.
Residuals and Influence in Regression, 1982.

7.
Technometrics, 1986. vol.28. pp.51-60 crossref(new window)

8.
SUGI, 1983. vol.8. pp.711-716

9.
SUGI, 1987. vol.12. pp.1162-1167

10.
Ph.D. dissertation, North Carolina State University, 1993.

11.
Estimation of Variance Components and Applications, 1988.

12.
Linear Models for Unbalanced Data, 1987.