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Table 2 Goodness of fit criteria for standard (SMM) and recursive (RMM) mixed models

From: Modeling relationships between calving traits: a comparison between standard and recursive mixed models

 

Comparison criteria

Modela,b

  

SMM

RMM1

RMM2

RMM3

GL

     
 

Mean squared error

18.717

18.717

18.716

18.715

 

Pearson's correlation

0.465

0.465

0.465

0.465

CD

     
 

Mean squared error

0.788

0.791

0.791

0.791

 

Pearson's correlation

0.487

0.485

0.486

0.486

SB

     
 

Mean squared error

0.108

0.109

0.109

0.109

 

Pearson's correlation

0.246

0.243

0.244

0.243

  1. a Boldface numbers indicate the best performance in goodness of fit, by criterion of comparison; b RMM1: recursive mixed model assuming that the relationship between residuals is due to the recursive relationships between the gestation length (GL) phenotype and the liabilities to calving difficulty (CD) and stillbirth (SB); RMM2: RMM assuming that the relationships both between residuals and between herd-years are due to the recursive relationships between the phenotype of GL and the liabilities to CD and SB; RMM3: recursive mixed model assuming that phenotypic correlations of the system are uniquely caused by the recursiveness