Sentence examples for based on local regression from inspiring English sources
The design of soft-sensors based on local regression models is becoming popular.
In addition, a novel method based on local regression of the PC source terms is also investigated which leads to improved results.
Therefore, the use of geographical analysis based on local regression models such as GWR can effectively assist decision making in the disaster management sciences, especially in areas where the economic and social conditions of the society are highly variable by locations.
To avoid the usage of prior knowledge of the health structure, the curve fitting technique based on local regression is adopted to simulate the FSS curvature for the intact state so that only the data from the damaged plate structure is required.
Moreover, once confirmed the significance of the drying effect on spectral shape, with the aim of building a calibration model to quantify the egg content in pasta samples irrespective of the manufacturing protocol adopted, a non-linear approach based on local regression, namely LWR-PLS, was investigated.
This method is an extension of the eBayes function in the limma R package [ 18], using an empirical Bayes test that models the dependence of variance on absolute expression levels, estimated based on local regression.
Based on their research, in this paper, we studied a continuous-time diffusion process determined by a stochastic differential equation, and our robust estimators based on local linear regression techniques; the reader can consider a robust estimator for a diffusion process by using local polynomial regression techniques.
Based on local linear regression, a jump estimate process t→γ(t) is constructed.
The proposed synthetic regulator is based on local linear regression models chosen for their simplicity of training and efficiency in incorporating new data generated by the plant.
Global normalization based on local polynomial regression (loess) was applied to the intensities to remove effects that were due to undesirable systematic variations in microarray experiments rather than biological differences.
They proposed a control chart that combines the exponentially weighted moving average control chart based on local linear kernel smoothing and a nonparametric regression test under the assumption that observations within and between individual profiles are independent of each other.
