Statistical approaches in surface finishing. Part 2. non-parametric methods for data analysis

被引：4
|
作者：
Smith, J. R. [1 ]
Larson, C. [2 ]
机构：
[1] Univ Portsmouth, Sch Pharm & Biomed Sci, Portsmouth, Hants, England
[2] Glencree, Windermere, Leics, England
来源：
TRANSACTIONS OF THE INSTITUTE OF METAL FINISHING | 2019年 / 97卷 / 01期
关键词：
Statistics; non-parametric; Mann-Whitney U test; Wilcoxon signed rank test; Kruskal-Wallis test; Dunn's test; Friedman test; Chi Square test; ranked data; COATINGS; ELECTRODEPOSITION;
D O I：
10.1080/00202967.2019.1555367
中图分类号：
O646 [电化学、电解、磁化学];
学科分类号：
081704 ;
摘要：
This paper is the second of a short series of articles aimed towards describing some of the various statistical methods and approaches that have been used in surface finishing. The methods fall broadly into two areas: analysis and design-of-experiments. In the first paper, the subject was briefly introduced followed by a discussion of parametric statistics hypothesis testing. This second paper logically continues with descriptions of the various non-parametric tests and situations where these could be applied, all within the context of surface finishing applications.
引用
收藏
页码：5 / 10
页数：6
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