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Even though empirical work suggests that the socioeconomic variable is an important predictor for health (see, e.g., [2, 11, 13, 17, 18, 25]), the OLS regression-based methodology of decomposition (I) does not provide the right framework to use this result for the explanation of socioeconomic inequality of health.
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As the S88 is not a guide for how to apply the definitions/structures, etc., one of the main goals of our work was to create a methodology for decomposition of functional requirements in terms of S88 models and structures.
In this paper we present a methodology for decomposition of a spatial domain of a transport problem into transport and diffusion subregions.
In [24], a new methodology for decomposition over a composite length DFT has been proposed as a modification of the Sorensen's approach [23].
A paradigmatic methodology for decomposition is the possible-translations semantics, a notion proposed in Carnielli 1990 designed to help solve the problem of assigning semantic interpretations to non-classical logics.
Finally, we used the decomposition methodology of Yun (2008) [ 48], while alternative decomposition methods [ 74, 75] that adopted a sequential replacement approach may provide differing results.
Other applications of this methodology, including the decomposition of a domain into subregions with minimal interface length, are discussed.
The paper provides a concurrent design methodology for functional tolerance using the principle of decomposition and reconstitution using growth design based on functional surfaces.
Methodology for peak decomposition of the representative Raman spectrum and for calculation of AD and AG values.
The proposed feature extraction methodology and the decomposition of the signs into their phonological structure is a promising method to help expert systems designed for SLR.
The evocation, of course, is of decomposition.
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