In this paper, the evaluation, combining and initial reduction of variables is presented, along with assessment of the hypotheses in the preliminary statistical testing.
Although the evaluation combined both qualitative and quantitative methodologies, it was predominantly qualitative.
Moreover, the evaluation combined quantitative, qualitative, and visual data from diverse sources, which permitted the triangulation of data from multiple sources to test the consistency of findings obtained from different stakeholders.
The framework developed for reliability evaluation combines the stochastic modelling of renewable resources with chronological simulation of energy system performance for the evaluation of system reliability.
The method, named Sustainability Assessment and Value Evaluation, combines two qualitative sustainability assessment techniques with a quantitative Net Present Value analysis based on alternative future scenarios.
Its evaluation combines formal assessments with observations from users, carers and technology and mental health professionals who are involved in the research.
The use of models in economic evaluation combines different types of data sources to extend available information.
There is, nonetheless, a clear difference between these two reference datasets: in BraliBase, the reference structures are only predicted, and the final evaluation combines a comparison with the reference and an estimation of the predictive capacity of the new alignment.
Toxicogenomics, the marriage of data-rich genomics approaches with traditional toxicologic end point evaluation combined with increasingly powerful in silico modeling approaches, promises to accelerate this process.
The final evaluation combined the resource estimates and the efficiency of commercially available systems with the rooftop assessment strategies.
