.png){kind=icon}
返回
Modelling informetric data using quantile functions
.png){kind=icon}
PRE
AI
DOI：10.1016/j.joi.2022.101266.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In the present work, we propose some transformations of quantile functions in informetry. We derive some new properties of Leimkuhler curves using quantile functions. Several quantile function models are presented along with the measures useful in informetrics. Applications of quantile functions in modelling and analysis of bibliometric data are also discussed with the aid of real data sets.
Keyword:
Quantile function
Leimkuhler curve
L-moments
Gini index
Bibliometric data
期刊
IF:
3.5
论文数:
1.6K
被引数:
7.9K
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏The Cost Effects of Statistical Sampling in Selecting the Reorder Point in a Common Inventory Model
PREAI
分享收藏
查看更多内容