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Two-Way Crossed Classification with Interaction

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Analysis of Variance for Random Models

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Abstract

Consider two factors A and B with a and b levels, respectively, involving a factorial arrangement. Assume that n ij (≥ 0) observations are taken corresponding to the (i, j)th cell. The model for this design is known as the unbalanced twoway crossed classification. This model is the same as the one considered in Chapter 4 except that now the number of observations per cell is not constant but varies from cell to cell. Models of this type frequently occur in many experiments and surveys since many studies cannot guarantee the same number of observations for each cell. This chapter is devoted to the study of a random effects model for unbalanced two-way crossed classification with interaction.

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© 2005 Birkhäuser Boston

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(2005). Two-Way Crossed Classification with Interaction. In: Analysis of Variance for Random Models. Birkhäuser Boston. https://doi.org/10.1007/0-8176-4425-3_5

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