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What if the public – or more precisely, millions of local experts – has good knowledge of means, but (because of misplaced entitlements, group-think or plain moral degeneracy) has no good ideas about ends?
Knowledge of means requires an immense amount of social science and knowledge of particular facts.
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Ordinary kriging is the most popular techbique, which eliminates the need for knowledge of mean value.
Instead, the bounds of uncertain microphone mismatches [16, 17] or the limited knowledge of mean and variance of microphone mismatches [18] may be practically available to a designer.
When limited knowledge of mean and variance of microphone mismatches is available to a designer, the robust FSBB design approach based on the worst-case mean performance (WCMP) optimization with the passband response variance (PRV) constraint is developed.
When limited knowledge of mean and variance of microphone mismatches is available, a robust FSBB design approach based on the worst-case mean performance optimization with the passband response variance (PRV) constraint is devised.
Accurate knowledge of mean link lifetime and the residual lifetime of existing links will aid the design of reliability based routing protocols to improve the routing performance, and to achieve the desired network performance.
In Section 4, we develop the robust FSBB design using the WCMP optimization with the PRV constraint, when the limited knowledge of mean and variance of microphone mismatches is available.
When the limited knowledge of mean and variance of microphone mismatches is available, the robust FSBB design approach based on the WCMP optimization with the PRV constraint has been presented.
(a) Opportunistic schedulers which are solely channel-aware may not even be stable (i.e., keep the users' queues bounded), unless chosen carefully, for example, using prior knowledge of mean arrival rates into the users' queues.
It is revealed that the knowledge of mean arrival rates about all sources and one-bit side information about each queue state at all nodes is sufficient to guarantee that the stable throughput region coincides with the Shannon capacity region.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com