Sentence examples for employed weights from inspiring English sources

The protocol employed weights the residuals arising from each of these classes equally, given the number of datapoints available for each.

This study of over 12 000 families draws on a nationally representative cohort study with a good response rate, and employed weights to account for non-response and design effects due to stratified sampling.

Here we employed Weights-of-Evidence (WOE) Bayesian modeling to investigate the spatial relationship between historical fire events in the Chaharmahal-Bakhtiari Province of Iran, using a wide range of binary predictor variables (i.e., presence or absence of a variable characteristic or condition) that represent topography, climate, and human activities.

All analyses were conducted using R version 2.5.1[ 24] The proportional hazard model was implemented using the function coxph, and the penalized spline fit was implemented using the pspline function[ 25] Plotted standard errors were calculated by a grouped jackknife estimate implemented using the cluster function, and all models employed weighting to account for the complex sampling design.

Our instrument allows for the appreciation of inter-individual variation by employing weights based on perceived importance of the different items, as used by similar measures [ 25, 41].

The health states identified by the EQ-5D were converted into EQ-5D indices employing weights from the German population valued with the time trade-off approach (hereafter referred to as the EQ-5D Germanindex) ranging between 0 and 1 [ 8], and weights from a pooled European population valued by a visual analogue technique ranging from 0 to 100 (EQ-5D Europeanindex) [ 9].

In such cases, researchers usually employ weighting procedures to adjust for these types of errors.

Secondly, via employing weighting method, the adopted multi-objective optimization problem is recast as a convex optimization one.

By integrating information theory with the concept of effective capacity, the adopted multi-objective optimization problem is recast as a convex optimization one via employing weighting method and sequentially solved by applying the Lagrangian dual method.

In [2], a weighting-delay-based method is developed by dividing the delay interval ([0,d(t)]) into some variable subintervals by employing weighting delays, and less conservative criteria are obtained.

Regression employing weighting by the stochastic component of the error structure yielded unambiguous values for physical properties such as the Schmidt number, whereas significant ambiguity was observed using modulus or proportional weighting.