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Gaussian applied generalized least squares method to radar data processing in the early nineteenth century.
We applied generalized linear models and use versus availability analyses to examine specific hypotheses regarding the potential drivers of rural residential development.
We applied generalized multilevel path models to investigate multivariate causal hypotheses that environmental effects on population stability of a macrophyte species - Potamogeton maackianus - are mediated by physiological and morphological traits variability.
We applied generalized linear regression models with HR and HRV as response variables and chest activity, time of day, season, distance traveled, and distance to human settlements from GPS positions recorded every 30 min as potential explanatory variables.
This study applied generalized additive modeling (GAM) on data from Colorado's QRIS in order to identify thresholds on several components of Colorado's QRIS, including the Early Childhood Environment Rating Scale-Revised (ECERS-R), classroom ratios, and staff credentials.
Using a time-series study design, we applied generalized additive model to assess the short-term association of 10-μg/m3 increase in PM10 with daily YLL and mortality, adjusting for long-term trend and seasonality, mean temperature, relative humidity, public holiday, and day of the week.
Similar(32)
Recent research has developed spatio-temporal approaches that apply Generalized Additive Models (GAM) to combine spatial, temporal, and other (e.g., demographic) features for prediction.
In this paper, we apply generalized'surrogate problem' methodology that is based on an on-line control scheme which transforms the problem into a'surrogate' continuous optimization problem and proceeds to solve the latter using standard gradient-based approaches while simultaneously updating both actual and surrogate system states.
We used a method of spatial epidemiology that applies generalized additive models (GAMs) to assess the spatial variation of disease in a region while simultaneously adjusting for other geographically distributed individual-level factors [ 17, 18] such as maternal education, age, and smoking.
We applied Generalized-Additive Models to evaluate a priori predictions of species response to different landscape processes.
Hence, these are feasible, economical and effective methods and will be applied and generalized in industry in the future.
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