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This paper extends pre-existing digital divide conceptualizations to further investigate the important issue of mismatches between the ontologies of state-created information systems and local communities' representation of their contexts. Comparability of data across time and place, as well as compatibility of data with state administrative needs come at a cost of information loss about the setting...
Benchmarking is not only about making comparisons but, through these, learning lessons to improve actual performance or knowledge. Comparing modelling paradigms based only on the conceptual model specifications is not enough; rather a well-defined benchmarking process and the execution of experiments are required. A benchmarking strategy is applied to three models of an oil refinery supply chain,...
Importance sampling is used in this paper to address the classical yet important problem of performance estimation of block codes. Simulation distributions that comprise discrete- and continuous-mixture probability densities are motivated and used for this application. These mixtures are employed in concert with the so-called g-method, which is a conditional importance sampling technique that more...
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