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Amiri et al. (2014) developed a probabilistic neural network (PNN -based PNN -basedto estimate the variance change procedurea univariato procestimate normal qualithecharacteristic.
In this paper, we designed an auto-thresholding and single vegetation index-based procedure to estimate the spatial distribution of rice paddies in China.
This paper introduces a GIS-based procedure to estimate the potential PV-electricity generation time series for every roof-top section within a study area using open source software.
In the presence of missing information, the feedback mechanism implements the consistency based procedure to produce appropriate estimate values of the missing ones based on the given information provided by the experts.
We used two measures for significance, significantly enriched (E) and significantly present (P) TFBS, and rank statistics based on a resampling procedure to estimate the corresponding p-values.
The general procedure to estimate its parameters based on the maximum likelihood method is presented.
That is why we have to apply another procedure to estimate such norms, based on the classical inequalities of analysis.
A model-based approach is proposed to determine the layer thickness and refractive index of different P25-powder modified sol gel coatings, using an optimization procedure to estimate these parameters based on UV-irradiance measurements.
We recently developed a statistical procedure to estimate biological richness based on observed data of this type, and tested it on both prokaryotic and protistan datasets [22], [25].
Salmeri et al. [29] introduced different weights to various subregions based on a similarity measure followed by a fuzzy procedure to estimate the variance of noise.
For each subsample k, we perform a fixed model selection procedure to estimate, the m-length binary vector of inclusions based on the kth subsample.
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