Sometimes, however, the two are distinguished, with classifier denoting a particle without any particular meaning of its own, as in the example above, and measure word denoting a word for a particular quantity or measurement of something, such as "drop", "cupful", or "liter".
The starting point in choosing the most suitable instrument for the measurement of a particular quantity in a manufacturing plant or other system is the specification of the instrument characteristics required, especially parameters like the desired measurement accuracy, resolution, sensitivity, and dynamic performance.
The GCI, like all estimates of a particular quantity, requires a set of assumptions that may bias the risk estimates.
Other procedures are based on showing that, of all conceivable outcomes, the one followed is that for which a particular quantity takes a maximum or a minimum value e.g., entropy change in thermodynamic processes, action in mechanical processes, and optical path length for light rays.
They found that if you measure a particular quantity for a galaxy, such as its size, you can infer all of its other main properties, such as luminosity, mass, and gas content.
Sensitivity and specificity for the best choice of threshold indicate how accurate is a test based on a particular quantity (how well defined is the threshold value).
At each possible intermediate ratio (within the range of 1 2 and 1 3), country A would want to import a particular quantity of wine and export a particular quantity of cloth.
Larger ROC area indicates that a test based on a particular quantity is more accurate.
Now, this isn't to deny that for iOS in particular, quantity does mean quantity of quality – a blizzard of interesting, innovative apps that either don't get ported to other platforms, or take their sweet time making that leap.
The appearance that one does have a reason for assigning particular quantities results only from an illicit substitution of subjective probabilities for the needed objectivist probabilities.
In this scheme, the localised penalization is based on a theorem of Kullback [ 45], which says that for a particular confidence level α, the quantity 2 N.MI(X i, X j | Pa(X i )) − χ α, l ij represents a statistical test of conditional independence, where l ij is the degrees of freedom of a chi-squared distribution, and χ α, l ij is the statistical significance threshold.
