THE GINI INDEX AND THE LEIMKUHLER CURVE FOR BIBLIOMETRIC PROCESSES

被引:35
作者
BURRELL, QL
机构
[1] Statistical Laboratory, Dept. of Mathematics, University of Manchester, Manchester, M13 9PL, Oxford Road
关键词
D O I
10.1016/0306-4573(92)90089-I
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
It has recently been emphasized that the Leimkuhler curve and the Gini index are valuable in giving respectively graphical and numerical summaries of the concentration of bibliometric distributions. In this paper these tools are further investigated from a probabilistic viewpoint. In particular, the importance of the time parameter and the special nature of the "nonproducers" in bibliometric studies are highlighted.
引用
收藏
页码:19 / 33
页数:15
相关论文
共 25 条