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The development of suitable methods for aggregation of ambiguous causal effects is desirable.
Of course, methods for aggregation and comparing patterns of resistance across countries and over time should be improved, and applied more fruitfully with better data from increased local and global surveillance.
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A new discretization method for aggregation equations is developed.
"A Flexible Method for Aggregation of Prior Statistical Findings". Rahmandad, Hazhir, Mohammad S. Jalali, and Kamran Paynabar.
His paper, "A Flexible Method for Aggregation of Prior Statistical Findings" which was co-authored by MIT Sloan research scientist Mohammad Jalali and Prof. Kamran Paynabar of Georgia Tech, was published last week in PLOS One.
For example, he has contributed to adapting various simulation-optimization approaches for model calibration and parameter estimation in dynamic models (e.g., the method of simulated moments and indirect inference), improving systematic review techniques, and developing a novel method for aggregation of prior stochastic and heterogeneous statistical findings.
Various types of aggregation methods used for aggregation of quality-monitoring data to yield an overall quality index.
The available techniques and methods for the aggregation of indicators include the following: Linear aggregation or Simple Additive Weighting (SAW) method– It is useful when all indicators have comparable measurement units and all physical theories are respected or when they can be normalised.
Interval Methods for Judgment Aggregation in Argumentation.
Interval methods for judgment aggregation in argumentation.
To reduce the scale of these, this paper discusses different methods for their aggregation into typical periods.
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