The Hartley function is a measure of uncertainty, introduced by Ralph Hartley in 1928. If a sample from a finite set A uniformly at random is picked, the amount of information revealed after the outcome is known is given by the Hartley function H 0 ( A ) := l o g b | A | , {\displaystyle H_{0}(A):=\mathrm {log} _{b}\vert A\vert ,} where |A| denotes the cardinality of A. If the base of the logarithm is 2, then the unit of uncertainty is the shannon (more commonly known as bit).
The Hartley function is a measure of uncertainty, introduced by Ralph Hartley in 1928. If a sample from a finite set A uniformly at random is picked, the amount of information revealed after the outcome is known is given by the Hartley function H 0 ( A ) := l o g b | A | , {\displaystyle H_{0}(A):=\mathrm {log} _{b}\vert A\vert ,} where |A| denotes the cardinality of A. If the base of the logarithm is 2, then the unit of uncertainty is the shannon (more commonly known as bit).
Source: Wikipedia "Hartley function" · CC BY-SA 4.0
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