Sentence examples for more quantitative framework from inspiring English sources

Exact(2)

Such a phenoform clustering approach would provide a more quantitative framework for defining intergrades and uncertainty in mapping.

This meant that primarily qualitative data collected through interviews could be placed in a more quantitative framework, allowing for more accurate comparisons to be drawn.

Similar(58)

There is a need for translating the conceptual model into a more quantitative silvicultural framework.

I rather intend to provide a perspective that sets the scene for the use of more detailed quantitative frameworks, which will have to be described or reviewed elsewhere.

Establish a more standardized and quantitative framework for extrapolation (see also BOS3 paper).

In each case, the treatment predicted to be appropriate for addressing the overall rate-limiting process based on the quantitative framework alleviated the limitation more successfully, and enhanced the in situ biodegradation rate more than the alternative enhancements.

More importantly, it allows us to build a quantitative framework for studying the length of the gene silencing period and number of siRNA molecules (of both types) required for the same for a cost-potency study.

This kind of structural prior information may be modelled naturally in a Bayesian framework, and can be influential in the analysis even when more quantitative prior information is lacking.

This paper thus delineates a general framework to account for ITV and suggests a direction towards a more quantitative trait-based ecology.

If health standards are a qualitative framework of reference, their definition and performances, open towards adequacy levels in more quantitative terms and whose implementation depends on available resources and appropriate needs.

While removal of these is 'standard practice', this needs to be evaluated in a quantitative framework to see whether and how it influences eventual ecological analyses; are our assessments made more vulnerable by including bad data or dismissing good data?

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