Sentence examples for distributional considerations from inspiring English sources

Our grades are based on four criteria: environmental effectiveness, cost effectiveness, distributional considerations and institutional feasibility.

These preparations include the derivation of sophisticated stochastic representations of the uniformly distributed random vectors as presented in Sections 4.1.1 and 4.2.1 as well as non-trivial distributional considerations for the representing random variables sketched also there.

According to Sen (1980)'…in judging the aggregate progress of society, the capability approach would certainly draw attention to the huge significance of the expansion of human capabilities of all members of the society, but it does not lay down any blueprint for how to deal with conflicts between, say, aggregative and distributional considerations …'.

Two additional presentations addressed distributional considerations for benefits analysis.

The pairwise similarity data were assessed using non-parametric, descriptive methods only, since independence and distributional considerations preclude the use of standard techniques.

Governments have intervened in health care markets in most developed countries in recognition of market failures and equity and distributional considerations.

For more realistic multi-parametric assessment (e.g., voxel-wise modeling), distributional consideration of all observations is appropriate.

Existing cost benefit techniques are not intended to address tradeoffs between net benefits and distributional and equity considerations (Levy et al. 2009).

The one big issue that is largely missing from Ms. Meeker's analysis is careful consideration of the distributional implications of the U.S. budget crisis and its likely solutions.

… The conservative view of this manages to be even more puzzling, since in all other contexts conservatives strongly favor policy measures that increase the marginal return to capital and vehemently reject consideration of the distributional implications of such measures.

This methodology enables a variety of nonlinear signal processing techniques that naturally incorporate the consideration of such distributional properties, including those which have no digital counterparts.