Exact(10)
Based on data comprising 535 site-years from 100 sites across China's croplands, we developed a data-driven upscaling model and a new simplified attribution approach to detect and attribute N runoff trends during the period of 1990 2012.
The derived partial differential (PD) form of the PenPan equation is a prevailing attribution approach worldwide.
For this purpose, we considered a Bayesian microbial subtyping attribution approach based on a previous published model (Hald et al., 2004).
I find that organizational and structural challenges are common reasons companies haven't adopted this new multi-touch attribution approach.
In the new attribution approach, they need to be considered as a single segment in order to create a full 360-degree view of the customer.
Now let's assume this company adopts an algorithmic attribution approach, and determines that different channels have different weights based on where they appear in the conversion path.
Similar(50)
Microbiological source attribution approaches have also been used to estimate the contribution of different sources and transmission pathways of campylobacteriosis in New Zealand.
A wide variety of food attribution approaches and data are used around the world, including the analysis of outbreak data, case-control studies, microbial subtyping and source tracking methods, and expert judgment, among others.
The comparatively small burden estimated by this analysis is in contrast with the results of another model using an outcome-attribution approach, which predicted an 410 926 excess days of illness annually in the USA due to fluoroquinolone-resistant Campylobacter infections, attributed to fluoroquinolone use in animals (Travers and Barza 2002).
W.r.t. the Moscow heat wave, the Rahmstorf finding was recently reaffirmed in an independent study using so-called "detection-plus-attribution" approaches by some scientists at Oxford.
A flexible data aggregation, validation, and attribution (AVA) approach was developed for this assessment of landscape change that involved combining available sources of spatial data to (1) create a refined spatially explicit analysis of landscape change and (2) facilitate the identification of proximate land-use and natural-disturbance causes.
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