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- W4246896191 abstract "Consider an experiment with two factors A and B where the levels of B are nested within the levels of A. Assume that there are a levels of A and within the ith level of A there are b i levels of B and n ij observations are taken at the jth level of B. The model for this design is known as the unbalanced two-way nested classification. This model is the same as the one considered in Chapter 6 except that now b is and n ijs rather than being constants vary from one level to the other. Models of this type are frequently used in many experiments and surveys since the sampling plans cannot be balanced because of the availability of limited resources. In addition, unless the number of levels of factor A is very large, the estimate of its variance component may be very imprecise for a balanced design. In this chapter, we consider the random effects model for the unbalanced two-way nested classification.KeywordsVariance ComponentBalance DesignBalance DataVariance TableAutosomal RecessiveThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W4246896191 created "2022-05-12" @default.
- W4246896191 date "2007-07-02" @default.
- W4246896191 modified "2023-09-23" @default.
- W4246896191 title "Two-Way Nested Classification" @default.
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- W4246896191 doi "https://doi.org/10.1007/0-8176-4425-3_7" @default.
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