Table 4.
Comparison of Nonparametric and Parametric Regressions, Based on Average Prediction Error (Residual Sums of Squares Averaged over 1,000 Replications), for a Single QTL, With 50 Sib Pairs[Note]
| Candidate Interval | Error in Predictiona | ||
| NP (95.3%) |
P1 (97.6%) |
P2 (98.0%) |
|
| β = 0, p = .5, ρ = .8: | |||
| (1,2) | 111.45 | 107.56 | 104.87 |
| (2,3) | 103.40 | 100.48 | 97.84 |
| (3,4) | 112.83 | 109.58 | 105.53 |
| (4,5) | 122.17 |
118.97 |
116.04 |
| NP (84.7%) |
P1 (80.2%) |
P2 (81.3%) |
|
| β = 2, p = .9, ρ = .7: | |||
| (1,2) | 167.93 | 170.56 | 168.01 |
| (2,3) | 160.26 | 165.02 | 161.36 |
| (3,4) | 169.88 | 172.64 | 169.90 |
| (4,5) | 184.71 |
191.39 |
188.55 |
| NP (70.7%) |
P1 (38.8%) |
P2 (40.7%) |
|
| β = 4, p = .7, ρ = .5: | |||
| (1,2) | 212.68 | 216.44 | 214.85 |
| (2,3) | 207.79 | 215.75 | 210.26 |
| (3,4) | 210.92 | 214.50 | 213.13 |
| (4,5) | 221.36 | 229.23 | 226.39 |
Note.—Simulation parameter values were α=5, σ2=1, and θ1=θ2=θ3=θ4=θ5=.01.
a
Definitions of abbreviations and results in parentheses are the same as those given in table 1.