Table 5.
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 25 Sib Pairs[Note]
| Candidate Interval | Error in Predictiona | ||
| NP (93.1%) |
P1 (95.4%) |
P2 (96.2%) |
|
| β = 0, p = .5, ρ = .8: | |||
| (1,2) | 126.04 | 122.76 | 119.64 |
| (2,3) | 118.48 | 115.57 | 112.05 |
| (3,4) | 128.16 | 121.35 | 120.03 |
| (4,5) | 143.74 |
137.43 |
134.68 |
| NP (82.6%) |
P1 (75.3%) |
P2 (77.0%) |
|
| β = 2, p = .9, ρ = .7: | |||
| (1,2) | 171.28 | 176.55 | 174.16 |
| (2,3) | 164.09 | 171.63 | 167.32 |
| (3,4) | 173.37 | 178.80 | 175.09 |
| (4,5) | 188.48 |
198.06 |
195.45 |
| NP (65.5%) |
P1 (34.2%) |
P2 (35.9%) |
|
| β = 4, p = .7, ρ = .5: | |||
| (1,2) | 229.53 | 240.08 | 237.62 |
| (2,3) | 220.49 | 238.16 | 233.44 |
| (3,4) | 226.86 | 237.61 | 233.38 |
| (4,5) | 243.35 | 258.77 | 255.26 |
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.