A Comparison of Some Probability Distributions Describing Bibliometric Phenomena

DOI Web Site
  • KISHIDA Kazuaki
    Graduate School of Library and Information Science, Keio University

Bibliographic Information

Other Title
  • ビブリオメトリックスの現象を記述する確率分布の比較
  • ビブリオメトリックス ノ ゲンショウ オ キジュツスル カクリツ ブンプ ノ

Search this article

Abstract

The author compares some probability distributions which have the possibility of describing bibliometric phenomena by fitting the distributions for some bibliometric data used by predecessor. A inverse Gaussian-Poisson distribution shows best goodness of fit. And in turn, negative binomial, Borel-Tanner, zeta and Yule distributions are better fitting for data. And it is cralified that the sample variance of each data is strongly related to which the distribution fits with bibliometric data or not.

Journal

Keywords

Details 詳細情報について

Report a problem

Back to top