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Reference details
Synopsis and invited feedback
Peer review is important and acquiring competent reviewers is becoming a major problem for the journals today so I will be very happy to include constructive comment (positive or negative) with acknowledgement. If I am not competent to judge your commentary I will try and find somebody who is.
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| Zipfian power-law behaviour (with a droopy tail) follows naturally from CoHSI homogeneous theory, the backbone of the Fundamental Law of Inequality. The result is a power-law curve of frequency v. rank, degrading naturally into a drooping tail for sparsely-occupied ranks. In this paper we discuss the various ways in which the underlying dataset might be incomplete, for example with missing ranks or affected by noise such as distortions in the measure used to bin data samples and how we must interpret this. We apply this to real protein data taken from uniprot.org. | None yet | 8 |
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Auto-generated: $Revision: 1.67 $, $Date: 2024/01/11 15:04:16 $, Copyright Les Hatton 2001-
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