Partition Entropy

Roger Bowden ()
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Roger Bowden: Kiwicap Research Ltd.

Chapter Chapter 1 in The Information Theory of Comparisons, 2018, pp 1-24 from Springer

Abstract: Abstract From the practical point of view, many of the statistical measures developed in this book can be read and understood without any formal reference to entropy; they have intuitive or contextual relevance just as they stand. However a fuller understanding of these and other operational outcomes derives from the relationship with the general notion of information complexity. An organising principle is partition entropy, which differentiates between distributional zones of different complexity. Applications follow to contexts such as the pass—fail boundary in scaling test results.

Date: 2018
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DOI: 10.1007/978-981-13-1550-3_1

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