2005/03/21 by Robert A. Fairthorne, R. A. Fairthorne
Economics, Econometrics and Finance · Computer Science · #Complex Systems and Time Series Analysis #Statistical and Computational Modeling
paper · doi:10.1108/00220410510585179
Abstract Purpose – Aims to build on the work of Buckland and Hindle regarding statistical distribution as applied to the field of bibliometrics, particularly the use of empirical laws. Design/methodology/approach – Gives examples of hyperbolic distributions that have a bearing on the bibliometric application, and discusses the characteristics of hyperbolic distributions and the Bradford distribution. Findings – Hyperbolic distributions are the inevitable result of combinatorial necessity and a tendency to short‐term rational behaviour. Originality/value – Supports Bradford's conclusion from his law, i.e. that to know about one's speciality, one must go outside it.