Table 2.
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 100 Sib Pairs [Note]
| Candidate Interval | Error in Predictiona | ||
| NP (95.2%) |
P1 (97.0%) |
P2 (97.8%) |
|
| β = 0, p = .5, ρ = .8: | |||
| (1,2) | 104.72 | 98.44 | 95.61 |
| (2,3) | 92.83 | 78.69 | 74.25 |
| (3,4) | 106.29 | 101.54 | 99.02 |
| (4,5) | 122.18 |
114.84 |
110.49 |
| NP (88.4%) |
P1 (80.6%) |
P2 (82.9%) |
|
| β = 1, p = .9, ρ = .7: | |||
| (1,2) | 162.26 | 167.05 | 165.11 |
| (2,3) | 147.75 | 154.68 | 151.83 |
| (3,4) | 164.90 | 168.32 | 165.17 |
| (4,5) | 179.44 |
188.69 |
184.72 |
| NP (71.5%) |
P1 (40.4%) |
P2 (43.7%) |
|
| β = 2, p = .7, ρ = .5: | |||
| (1,2) | 196.65 | 211.76 | 203.38 |
| (2,3) | 188.07 | 200.55 | 197.63 |
| (3,4) | 199.19 | 213.01 | 206.05 |
| (4,5) | 212.92 | 225.47 | 218.86 |
Note.—Simulation parameter values were α=3, 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.