Sentence examples for weighted normal from inspiring English sources
The gain functions are computed by matching the impaired model output to the perceptively weighted normal output, and qualitative agreement is achieved with NAL-NL1 prescription on clean signals.
The weighted normal spatial scan statistic therefore identifies as a cluster a group of two or more regions with mean PMR higher or lower than outside the cluster.
Statistically significant high risk clusters of FIV (or FeLV) infection were identified using a weighted normal spatial scan test [ 34] as implemented in SaTScan™ [ 35].
A Poisson model was used for the model-adjusted scan test and a weighted normal model was used for the scan test using the multi-level model residuals (at the level of the observation).
For the two-study meta-analysis, power calculation requires simulating the two case control data sets for each iteration and performing the z test based on the weighted normal distribution (equivalent to a fixed-effect meta-analysis).
Four space-time scan statistic models were used including: animal class adjusted Poisson, space-time permutation, multi-level model adjusted Poisson, and a weighted normal scan statistic using model residuals.
As a first step, NIR images were qualitatively weighted against normal subjects and dry AMD.
In all tumor entities, both rrCBF and ATT of the peritumoral T2-weighted normal brain parenchyma and the contralateral normal brain tissue were not significantly different.
In both cases, the proportion of normally weighted respondents reporting themselves as normal weight is high, 100% for males and 94.7% for females.
Scalar approaches consist in transforming the MOP into one or more single objective problems, and include among others the well known weighted sum approach, Normal Boundary Intersection (NBI) and ε-constraint methods [ 33].
Indeed, among overweight and obese following a diet, children with negative and positive self-esteem were respectively 50.5% of and 22.2%; among normal weighted there were respectively 25.5% and 20.4% and among underweight children there were 7.4% and 33.3%.
