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A probabilistic model for the distribution of authorships

✍ Scribed by Ajiferuke, Isola


Publisher
John Wiley and Sons
Year
1991
Tongue
English
Weight
955 KB
Volume
42
Category
Article
ISSN
0002-8231

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✦ Synopsis


A theoretical model for the distribution of authorships is developed. This model, the shifted Waring distribution, and 15 other discrete probability models are tested for goodness-of-fit against 94 data sets collected from six fields (engineering sciences, medical sciences, physical sciences, mathematical sciences, social sciences, and humanities). The shifted inverse Gaussian-Poisson is found to provide the best fitting. It is suggested that the latter model can be used in the estimation of the number of entries in an author index and in determining the maximum number of authors per paper to be included in an author index. *A goodness-of-fit test is designed to compare the empirical sample obtained with the type of sample one would expect from the hypothesized model to see if the hypothesized model "fits" the data in the sample.


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