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Case Deletion Diagnostics for Intraclass Correlation Model
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 Title & Authors
Case Deletion Diagnostics for Intraclass Correlation Model
Kim, Myung Geun;
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 Abstract
The intraclass correlation model has a long history of applications in several fields of research. Case deletion diagnostic methods for the intraclass correlation model are proposed. Based on the likelihood equations, we derive a formula for a case deletion diagnostic method which enables us to investigate the influence of observations on the maximum likelihood estimates of the model parameters. Using the Taylor series expansion we develop an approximation to the likelihood distance. Numerical examples are provided for illustration.
 Keywords
Case deletions;intraclass correlation;likelihood distance;Taylor series expansion;
 Language
English
 Cited by
 References
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