The weighting process in the LPF that uses no motion models for weighting is based on binary decisions: if a particle crosses a wall its weight is set to zero otherwise it is set to one and weighted solely by the likelihood functions of the other sensors.
As future work, we will also incorporate the Hough transform results into the active shape model algorithm for weighting, as well as for initialization of the starting shape.
The explanatory variables in the models used for weighting included age, ethnicity, latitude of clinical center, and month of blood draw.
A unidimensional binary logistic model can be used instead the conventional 2×2 contingency table alternative because the logistic model easily allows for weighting genes [42].
A stress approach model for weight reduction of leaf springs used in automotive vehicles has been experimentally developed simulating with industrial environment.
China presents a unique model for weight change, having recently undergone transition from a history of undernutrition to a rapid increase in obesity [ 15, 16].
This association remained after adjustment of the model for weight, BMI, cholesterol, LDL cholesterol, HDL cholesterol, glucose, insulin, AIRg, KG, SI, and oxLDL.
The best-fitting models for both SBP and DBP had 3 knots at 18, 30, and 36 weeks' gestation, and the model for weight had 2 knots at 18 and 28 weeks' gestation.
The model for abdominal circumference explained more of the variance in blood pressure (8.8% and 7.7%, respectively, for systolic and diastolic blood pressure; figure 1) than the models for the other three measures, with the model for weight coming a close second (6.7% and 5.5% of the variance explained for systolic and diastolic blood pressure).
