Brian Cullis
Brian Cullis
Brian Cullis
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Linear mixed model<br />
Assumptions<br />
[ u<br />
e<br />
] ([ 0<br />
∼ N<br />
0<br />
]<br />
,<br />
[ G 0<br />
0 R<br />
])<br />
• G = G(γ)<br />
• R = R(φ)<br />
• var(y) = H where H = ZGZ ′ +R<br />
• Overall scale parameters have been omitted for simplicity<br />
of presentation: inclusion leads to use of variance<br />
components (rather than variance component ratios)<br />
VSN Applied Statistics Conference 2011<br />
Modelling variance structures of multi-term effects
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