Table 4.

Estimates of the regression coefficients (α and γ) for models 2, 3 and 5

ModelTreatmentCage
\({\hat{{\alpha}}}\)
\({\hat{{\sigma}}}_{\mathrm{A}}\)
\({\hat{{\gamma}}}\)
\({\hat{{\sigma}}}_{\mathrm{G}}\)
Model 1   0.1207  0.01470  
Model 2 Ambient  0.1232  0.01448  
 Heated  0.1189  0.01487  
Model 3 Ambient 0.1244  0.01221  
  0.1214  0.01758  
 Heated 0.1203  0.01300  
  0.1174  0.01689  
Model 5 Ambient  0.1231 0.0082 0.01454 0.0048 
 Heated  0.1188  0.01495  
ModelTreatmentCage
\({\hat{{\alpha}}}\)
\({\hat{{\sigma}}}_{\mathrm{A}}\)
\({\hat{{\gamma}}}\)
\({\hat{{\sigma}}}_{\mathrm{G}}\)
Model 1   0.1207  0.01470  
Model 2 Ambient  0.1232  0.01448  
 Heated  0.1189  0.01487  
Model 3 Ambient 0.1244  0.01221  
  0.1214  0.01758  
 Heated 0.1203  0.01300  
  0.1174  0.01689  
Model 5 Ambient  0.1231 0.0082 0.01454 0.0048 
 Heated  0.1188  0.01495  

The parameters

\({\hat{{\sigma}}}_{\mathrm{A}}\)
and
\({\hat{{\sigma}}}_{\mathrm{G}}\)
are the standard deviations of random components Aj and Gj, respectively.

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