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SPSS® 12.0 Command Syntax Reference

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Covariance Structure List<br />

MIXED 993<br />

The following is the list of covariance structures being offered by the MIXED procedure.<br />

Unless otherwise implied or stated, the structures are not constrained to be non-negative definite<br />

in order to avoid nonlinear constraints and to reduce the optimization complexity.<br />

However, the variances are restricted to be non-negative.<br />

• Separate covariance matrices are computed for each random effect; that is, while levels<br />

of a given random effect are allowed to co-vary, they are considered independent of the<br />

levels of other random effects.<br />

AD1 First-order ante-dependence. The constraint<br />

for stationarity.<br />

≤ 1 is imposed<br />

Example matrix:<br />

2<br />

σ1 σ 2 σ 1 ρ 1<br />

AR1 First-order autoregressive. The constraint ρ ≤ 1 is imposed for stationarity.<br />

Example matrix:<br />

ARH1 Heterogenous first-order autoregressive. The constraint ρk ≤ 1 is imposed<br />

for stationarity.<br />

Example matrix:<br />

ρ k<br />

σ 2 σ 1 ρ 1 σ 3 σ 1 ρ 1 ρ 2 σ 4 σ 1 ρ 1 ρ 2 ρ 3<br />

2<br />

σ2 σ 3 σ 2 ρ 2<br />

2<br />

σ3σ1 ρ1ρ2 σ3σ2 ρ2 σ3 σ 4 σ 2 ρ 2 ρ 3<br />

σ 4 σ 3 ρ 3<br />

2<br />

σ4σ1 ρ1ρ2 ρ σ<br />

3 4σ2ρ 2ρ3 σ4σ3 ρ3 σ4 2<br />

σ1 2<br />

σ2σ ρ σ<br />

1 2<br />

1 ρ ρ 2 ρ 3<br />

ρ 1 ρ ρ 2<br />

ρ2 ρ 1 ρ<br />

ρ3 ρ2 ρ 1<br />

σ 2 σ 1 ρ σ 3 σ 1 ρ 2 σ 4 σ 1 ρ 3<br />

σ3σ1 ρ 2 2<br />

σ3σ2 ρ σ3 σ 3 σ 2 ρ σ 4 σ 2 ρ 2<br />

σ 4 σ 3 ρ<br />

σ4σ1 ρ 3 σ4σ2 ρ 2 2<br />

σ4σ3 ρ σ4

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