HIERARCHICAL MODEL
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Now extend the notation to include the population structure.
If X(jig) indexes haplotype j in subpopulation i in group g, it can be
represented by the linear model
where
- X is the unknown expectation
- a is the group effect with variance
, g = 1 ... G
- b is the subpopulation effect within a group with variance
, i = 1 ... Ig
- c is the individual effect within a subpopulation with variance
, j = 1 ... Nig
These effects are assumed to be additive, random and uncorrelated.
AMOVA Version 18.6.96 Page : 5 of 12
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