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Table 6 Bias and RMSE in brackets from 1000 simulated datasets (generated from [14] with θ h 2 equal to 1.3)

From: Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

  First component Second component Third component
Parameters EM-W Kim EM-W Kim EM-W Kim
p(0.585, -0.009 0.001 -0.007 0.005 0.016 -0.001
0.1,0.315) (0.013) (0.010) (0.012) (0.011) (0.020) (0.013)
a0(0.3, -0.002 -0.000 0.015 0.001 0.003 -0.000
1,0.2) (0.023) (0.023) (0.024) (0.019) (0.016) (0.016)
a1(0.03, -0.005 -0.001 0.054 -0.000 0.003 0.000
1,0.02) (0.071) (0.074) (0.0928) (0.083) (0.068) (0.064)
b1(0.06, 0.015 -0.000 -0.131 0.001 0.020 0.000
0.9,0.01) (0.036) (0.036) (0.135) (0.045) (0.041) (0.043)
θ2(1.3, -0.195 -0.000 -0.185 -0.003 -0.186 -0.002
1.3,1.3) (0.196) (0.016) (0.192) (0.049) (0.189) (0.025)
ρ(0.6 0.043 -0.000 0.037 -0.002 0.044 -0.001
0.6,0.6) (0.043) (0.007) (0.042) (0.022) (0.045) (0.010)
σ2(0.0, 0.144   0.131   0.143  
0.0,0.0) (0.145)   (0.133)   (0.144)  
d2(0., 0.000   0.000   0.001  
0.,0.) (0.000)   (0.001)   (0.001)  
  EM-W Kim Proportion
  Mean (RMSE) SD Mean (RMSE) SD (EM-W is not worse)
Error rate 0.103 (0.104) 0.009 0.102 (0.103) 0.010 426/1000
Rand 0.864 (0.137) 0.012 0.866 (0.135) 0.012 360/1000
Adjusted 0.725 (0.276) 0.025 0.729 (0.272) 0.025 352/1000