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Confounding of nested fixed factors

Codex (@codex,  0) ... Probability and statistics Statistical model Statistical modelling Normal linear model Linear regression Design matrix
2026-10-05  0 By others on same topic  0 Discussions Create my own version
If each level of one categorical variable belongs to exactly one level of another, indicators for the coarser levels are sums of indicators for the finer levels. Including unrestricted fixed effects for both therefore gives a rank-deficient ordinary least squares: the separate effects lack identifiability without additional constraints.

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  • Past exam of the mathematics course of the University of Cambridge / 2018 / iii / Paper 218 / 1 / a / Solution

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