Weka employs predictive modeling. Seventy percent of the survey dataset has been used to train the model, while 30% of survey datasets are used to test it initially. Before executing the modeling on the test set, cross-validation is also performed. The results of various classification models ...
infants (under 1 years of age) and neonates (0–28 days) in 99 countries at policy-relevant subnational scales (first and second administrative levels) for each year from 2000 to 2017. We fit a geostatistical discrete hazards model to a large dataset that is composed of 467 geo-referenced ...
This can be explained by Tuffnell et al.'s (44) modeling of exponential body cooling; at bed-time, the heat loss coefficient for a prone infant was ∼60% lower than those of supine and side sleepers. This is because heat loss from the head and exposed limbs is...
Additionally, modeling specific gravity as a covariate allows the urinary analyte concentration to be appropriately adjusted for urine dilution and the statistical significance of other variables in the model to be evaluated independently from the effects of specific gravity. It also provides additional ...
An SAS macro for implementing the modified Bollen-Stine bootstrap for missing data: Implementing the bootstrap using existing structural equation modeling software. Struct. Equ. Model. 2005, 12, 620–641. [Google Scholar] [CrossRef] Koemle, D.; Yu, X. Choice experiments in non-market value...
2.13. Statistical Analyses To examine the characteristics of full-day arm movement bouts across the first months of infancy for infants with TD, trends were developed using longitudinal linear effects modeling centered at mean age. Random differences in level were estimated. There was insufficient ...
Modeling and redirecting the children to acceptable behavior; Helping the children to constructively express their feelings and frustration to resolve conflict and Arranging my equipment, materials, activities and schedules in a way that promotes desirable behavior. ...