Robustness and balance in the mixed model

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

When balanced data are analyzed by a robust method, different weights are applied to data points depending on their apparent status as outliers. This results in the effective unbalancing of the data. Concepts developed for the analysis of unbalanced data can help to suggest robust methods of analysis for balanced data.

Original languageEnglish (US)
Pages (from-to)303-309
Number of pages7
JournalBiometrics
Volume47
Issue number1
StatePublished - 1991

Fingerprint

Mixed Model
Robustness
Robust Methods
data analysis
Unbalanced Data
Weights and Measures
methodology
Outlier

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Public Health, Environmental and Occupational Health
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics
  • Statistics and Probability

Cite this

Robustness and balance in the mixed model. / Rocke, David M.

In: Biometrics, Vol. 47, No. 1, 1991, p. 303-309.

Research output: Contribution to journalArticle

Rocke, DM 1991, 'Robustness and balance in the mixed model', Biometrics, vol. 47, no. 1, pp. 303-309.
Rocke, David M. / Robustness and balance in the mixed model. In: Biometrics. 1991 ; Vol. 47, No. 1. pp. 303-309.
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