
doi: 10.3390/e8030169
Notion of Effective size of support (Ess) of a random variable is introduced. A smallset of natural requirements that a measure of Ess should satisfy is presented. The measure withprescribed properties is in a direct (exp-) relationship to the family of R ́nyi’s α-entropies which eincludes also Shannon’s entropy H. Considerations of choice of the value of α imply that exp(H)appears to be the most appropriate measure of Ess.Entropy and Ess can be viewed thanks to their log / exp relationship as two aspects of the samething. In Probability and Statistics the Ess aspect could appear more basic than the entropic one.
Measures of information, entropy, support, Shannon’s entropy, Science, Physics, QC1-999, probability, Q, Rényi's entropy, Astrophysics, Statistical aspects of information-theoretic topics, QB460-466, statistics, R´enyi’s entropy, Probabilistic measure theory, Statistics., Shannon's entropy, interpretation, Probability
Measures of information, entropy, support, Shannon’s entropy, Science, Physics, QC1-999, probability, Q, Rényi's entropy, Astrophysics, Statistical aspects of information-theoretic topics, QB460-466, statistics, R´enyi’s entropy, Probabilistic measure theory, Statistics., Shannon's entropy, interpretation, Probability
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
