The most-cited statistical papers

被引：49

作者：

Ryan, TP

Woodall, WH ^{[1
]}

机构：

[1] Virginia Tech, Dept Stat, Blacksburg, VA 24061 USA

[2] Natl Inst Stand & Technol, Gaithersburg, MD 20899 USA

来源：

JOURNAL OF APPLIED STATISTICS | 2005年 / 32卷 / 05期

关键词：

citations; history of statistics;

D O I：

10.1080/02664760500079373

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We attempt to identify the 25 most-cited statistical papers, providing some brief commentary on each paper on our list. This list consists, to a great extent, of papers that are on non-parametric methods, have applications in the life sciences, or deal with the multiple comparisons problem. We also list the most-cited papers published in 1993 or later. In contrast to the overall most-cited papers, these are predominately papers on Bayesian methods and wavelets. We briefly discuss some of the issues involved in the use of citation counts.

引用

页码：461 / 474

页数：14

共 84 条

[51] NEURAL NETWORKS AND PHYSICAL SYSTEMS WITH EMERGENT COLLECTIVE COMPUTATIONAL ABILITIES [J].