Resumen

FRANCO, DIANA CAROLINA  y  MELO, OSCAR ORLANDO. Estimation of Missing Data, Imputation and Test Statistics in Two-Way Classification Mixed Models. Rev.Colomb.Estad. [online]. 2006, vol.29, n.1, pp.35-56. ISSN 0120-1751.

We propose a methodology to estimate missing information in mixed cell means models. This methodology improves on that Melo & Melo (2005), which is based on the methods of maximum likelihood estimation and covariate proposed by Bartlett (1937), and reduces the correlation between the observed and estimated information. Once the imputation of the missing information is done, we suggest a way to perform the analysis of variance in models without interaction, by generating a weighted test for the fixed and random effects involved in the model.

Palabras clave : Cell means model; Mixed model; Missing information; Estimation and imputation; Distribution of quadratic forms.

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