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There is a long tradition of attempts to infer causal relations among a set of quantities from probabilistic facts about the values of these quantities.
Consider a deterministic world and a set of quantities S with certain causal relations holding between them.
Coordinate A set of numeric quantities that designate position in a given reference system.
Here the problem is to develop procedures to assign a set of numbers to each quantity (quality and quantity of life) so that the numbers, when considered in terms of a specified geometrical system, reflect relations among the various quantities.
There are many providers that slash their rate after a certain quantity has been purchased.
Firm 1's going to move first and Firm 1 knows that after she sets her quantity Q1, Firm 2 will respond by choosing her corresponding quantity, which is the best response to it.
The GCI, like all estimates of a particular quantity, requires a set of assumptions that may bias the risk estimates.
More succinctly: After reviewing the literature, we designed a set of patterns to capture physical quantities.
The values of a bivalent quantity, for instance, form a set with two members; the values of a real-valued quantity form a set with the structure of the real numbers.
A set of parametric solutions for various leaf quantities is produced by the model.
The main quantity to be computed is the probability that a gene is a driver given a set of alterations.
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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