Table 2 Estimated variance components of two Markov chain Monte Carlo algorithms and REML based on 10 simulation replicates
From: Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters
σa2 | σd2 | σe2 | |||||||
|---|---|---|---|---|---|---|---|---|---|
Avg | Min | Max | Avg | Min | Max | Avg | Min | Max | |
Learning phase | |||||||||
Mean | 778.04 | 659.95 | 873.01 | 593.67 | 512.86 | 698.77 | 3031.13 | 2845.09 | 3184.00 |
Median | 767.32 | 627.37 | 831.31 | 584.36 | 503.76 | 690.93 | 3057.02 | 2894.05 | 3191.20 |
Mode | 728.63 | 518.87 | 879.81 | 568.09 | 515.13 | 658.08 | 3008.63 | 2737.08 | 3282.07 |
Adapted phase | |||||||||
Mean | 774.70 | 732.99 | 839.36 | 577.07 | 545.11 | 620.89 | 3065.10 | 2901.00 | 3184.05 |
Median | 764.48 | 718.31 | 827.60 | 574.23 | 529.86 | 615.08 | 3069.23 | 2907.08 | 3191.20 |
Mode | 779.02 | 747.16 | 838.08 | 580.98 | 531.31 | 634.40 | 3103.76 | 2928.00 | 3284.50 |
REML estimates | 731.27 | 588.17 | 881.47 | 555.99 | 527.02 | 629.06 | 3064.94 | 2928.00 | 3174.91 |
True values | 800.00 | 600.00 | 3025.00 | ||||||
