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The tree species-specific models were estimated on a subpixel scale by utilizing information on the proportions of each species within a plot.
This is done by utilizing information on the new estimates, estimates from the previous run, Interbull's own expectations and for non-Holstein breeds, correlations from Holstein [ 3].
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Wilson et al. [13] developed a methodology (hereafter referred to as Phenological Gradient Nearest Neighbor, or PGNN, for convenience) for producing maps of tree species occurrence and relative abundance over large areas by utilizing information collected on FIA field plots in conjunction with 250 m pixel resolution raster data in a k-nearest neighbor (k NN) imputation framework.
Wilson et al. [ 13] developed a methodology (hereafter referred to as Phenological Gradient Nearest Neighbor, or PGNN, for convenience) for producing maps of tree species occurrence and relative abundance over large areas by utilizing information collected on FIA field plots in conjunction with 250 m pixel resolution raster data in a k-nearest neighbor (kNN) imputation framework.
Genotyping accuracy was further increased to >99% by utilizing information from adjacent probes.
In this manuscript, we develop a new approach to detect the tissue specificity of LTR effects, by detecting deviation in coexpression, utilizing information on gene coexpression across tissues.
In this example, we utilize information on the temporal distribution of cases as estimated from clinical surveillance data combined with information on seroconversion interval and the exact timing of each serum sample to estimate incidence by week.
Rahman et al. utilized information on metabolite structures in Pathway Hunter Tool (PHT) [ 16].
We first estimate the induced relative risk function with a kernel smoother based on the validation sample, and then improve the estimation by utilizing the information on the incomplete observations from the non-validation subsample.
We first estimate the induced relative risk function by kernel smoothing based on the validation subsample, and then improve the estimation by utilizing the information on the incomplete observations from non-validation subsample and the auxiliary observations from the primary sample.
The aim of this study was to develop an environment which, based upon existing research mainly on event study methodology, could be used for observing insider trading in the Athens Stock Exchange by exploiting publicly available information and utilizing information technology.
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