MSE of partial replicate design [General Sta­tis­tics]

posted by ElMaestro  – Denmark, 2013-04-10 12:38 (4814 d 07:28 ago) – Posting: # 10395
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Hi again d_labes,

❝ ❝ In a mixed model -if that's you case cf above- you have a V where the diagonal is either

❝ ❝ a. s2wT+s2bT or s2wT+s2bT (full repl.)

❝ ❝ b. s2wT or s2wR+s2bR (partial repl.)


:confused:

See below.


❝ I have a V matrix (example subject in sequence TRR, i.e. 2x3x3 design)

s2b+s2wT  s2b       s2b

❝ s2b       s2b+s2wR  s2b

❝ s2b       s2b       s2b+s2wR

❝ where s2b is the common between-subject variance.


Sorry you're right there's something I left out. For T the error is the total var. When equal between's can be assumed for T and R you get s2b+s2wT and not s2wT.
The errors are the withins on the diagonal of V; just take the average to get the mean squared error.

Or did you mean something entirely different?

Btw, shouldn't it be zero in cell (2,1), (3,1), (1,2) and (1,3) ?
I am not sure you'd co-vary a T-observation with an R-observation.

Pass or fail!
ElMaestro

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