Sentence examples for distributional point from inspiring English sources

Moncarz (2011) reports that for Mexico the pension system is almost neutral from a distributional point of view.

Our main finding that a solidarity system as the PAYG-DB that is in place in Argentina is regressive appears to be at odds with the preconception that from a distributional point of view this type of arrangements are more progressive than a system with individual accounts, which almost by definition are actuarially fair.

Given the exponential growth of distributional data [2], [3], the necessity for procedures and bioinformatics tools to facilitate data management, reduce data complexity, and find general patterns from distributional point records has increased.

From a distributional point of view, it is important to know whether the weakest groups in society face a relatively higher financial burden or are treated in a different way because the level of (price) ignorance varies by socioeconomic group.

While the collapsing pattern made sense from a distributional point of view, further work needs to be done in larger samples to see if the current strategy is optimal.

However, mean regression models may be sensitive to response outliers and provide no information on factors affecting other distributional points (e.g. upper and lower 5% quantiles) of the response.

Agricultural Politics at a Turning Point: Distributional, Land-use, Framing and Evaluational Conflicts" based at the University of Hamburg s Research Center for Biotechnology, Society and the Environment ( BIOGUM).

As long as it is possible to simulate draws from the posterior distribution, these point estimates and probability intervals can be calculated under other distributional assumptions.

But Europe's banks' balance sheets have essentially been frozen, whereas in the five years up to the crisis, they expanded by €13.5 trillion.That brings us to the second point; the distributional impact of policy.

These initial points and distributional shapes are the "priors" for any Bayesian model, and they are often not discussed in great detail despite being important parts of the model.

The compressive strength of the material was modeled by considering the relationship between the porosity and the distributional probability of the weakest points, i.e., points that could lead to fracture, in the continuum.