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Theory and experimentation on the most-recent-reference distribution (2002)

Abstract
The cumulative distribution of the age of the most-recent-reference distribution is the ldquodualrdquo variant of the first-citation distribution. The latter has been modelled in previous publications of different authors but the former one has not. This paper studies a model of this cumulative most-recent-reference distribution which is different from the first-citation distribution. This model is checked on JASIS and JACS data, with success. The model involves the determination of 3 parameters and is a transformation of the lognormal distribution. However we also show that the first-citation model (involving only 2 parameters and which is easier to handle), developed in an earlier paper, gives enough freedom to give close fits to the most-recent-reference data as well.

Publication details
Download http://hdl.handle.net/1942/771
Publisher Springer
Repository Document Server@UHasselt (Belgium)
Type Article
Language Englisch
Relation http://dx.doi.org/10.1023/A:1014825113328