TABLE 2.
Score Function Parameter Estimates
Term | Estimate | T statistic | P | Definition |
---|---|---|---|---|
Mean | −13.058 | −0.601 | 0.28 | Value when other variables are 0 |
RMSI | 0.708 | 3.278 | 0.00082 | ![]() |
LinMid | 4.638 | 4.348 | 0.00002 | ![]() |
LinRght | 5.174 | 4.233 | 0.00003 | ![]() |
FirstDif | −57.831 | −1.308 | 0.096 | ![]() |
ScndDif | 44.981 | 1.091 | 0.14 | ![]() |
RMSI2 | −0.001 | −2.665 | 0.0048 | RMSI squared |
Is (i), Scaled illumination (Eq. 1 in Supplemental Data) at position i of scan s; ηs, number of non-0 scan s values; βs (L), slope of scan s in line segment L: left = 1, middle = 2, or right = 3; ηs (L), its length. RMSI penalizes departures from the maximal intensity. Linear middle (LinMid) and linear right (LinRght) variables penalize illumination changes depending on their lengths. First differences (FirstDif) and second differences (ScndDif) penalize changes in adjacent and triplet positions. With the exception of RMSI, all variables are logged before computing the score function, defined as the sum of the product of the estimates and variables.