Abstract
The completely nested or hierarchical classification involving several stages arises in many areas of scientific research and applications. For example, in a large scale sample survey, experiments may be laid down on very many blocks, and the blocks are then naturally classified by cities, the cities by states in which they occur; and the states by the regions, and so forth. In a genetic investigation of dairy production, the units could be cattle classified by sires, sires classified by their dams, and so on. Frequently, the designs employed in these investigations are unbalanced, sometimes inadvertently. In this chapter, we shall briefly outline the analysis of variance for an unbalanced r-way nested classification.
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(2005). General r-Way Nested Classification. In: Analysis of Variance for Random Models. Birkhäuser Boston. https://doi.org/10.1007/0-8176-4425-3_9
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DOI: https://doi.org/10.1007/0-8176-4425-3_9
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