NDLI: Applicability of selected probability distributions to the number of authors per article in theoretical population genetics

Content Provider	Springer Nature Link
Author	Gupta, B. M. Kumar, Suresh Rousseau, R.
Copyright Year	1998
Abstract	Recently scientists have investigated what statistical distributions can be used to describe the distribution of the number of authors per article.Ajiferuke has undertaken the most comprehensive study of this problem. He has found that by and large the Inverse Gaussian-Poisson distribution could describe most properly the observed authorship distributions. However, it is well known that this distribution is rather intricate, soRousseau tried to fit some simple one-parameter distributions to the number of authors of LIS articles. He has found that the geometric and the truncated Poisson distribution adequately describe these authorship data sets. The main purpose of the present paper is to continue these investigations and to analyse and test the viability of simple statistical distributions. As to (sub)fields where the single author dominates the results ofRousseau were corroborated: the truncated Poisson and the geometric distribution give often adequate fits to describe the number of authors. The Lotka distribution should be rejected. The truncated binomial distribution and the truncated negative binomial were investigated as well. However, it is not clear whether they are acceptable candidates.
Starting Page	325
Ending Page	334
Page Count	10
File Format	PDF
ISSN	01389130
Journal	Scientometrics
Volume Number	42
Issue Number	3
e-ISSN	15882861
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	1998-01-01
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Information Storage and Retrieval Interdisciplinary Studies Library Science
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Computer Science Applications

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