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Examples of such measures are the euclidean distance in RGB space or the infinity norm of the differences.
Examples of such measures are a tax decrease because policy makers forecast a recession and a tax increase approved in order to finance a rise in spending.
The Hellinger coefficient, the Jeffreys distance, the Chernoff coefficient, the directed divergence, and its symmetrization J-divergence are examples of such measures (see [1] and [2]).
Examples of such measures are entropy, unicity distance guesswork, and -work factor [43]. Entropy, as suggested by Shannon [1], measures the message uncertainty.
Examples of such measures are the trimean and the trimmed means that try to combine the good properties of both measures.
Examples of such measures include tax cuts implemented to increase potential output and tax changes imposed by external bodies, such as the European institutions.
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We present under national five mortality rates adjusted for country income groups as an example of such measure, presenting data for contextually controlled outcomes in this specific field to show where governance seems better and worse.
There are abundant examples of the effectiveness of such measures.
As an example of the 'effectiveness' of such measures, Marmisa and Escalante reported an increase in "consent rate" from 59% at first "request" to 81% after "up to five additional requests" [ 35].
The effect of such measures seems limited.
Examples of such support measures include the interactive chart of accounts in example 2 or the BPMN notation in example 3. Support options integrated more deeply in an item type, such as the dynamically filtered list of accounts to support correct input of account names used in example 2, can be realized by retrieving data from external sources when creating item-specific display routines.
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CEO of Professional Science Editing for Scientists @ prosciediting.com