首页   按字顺浏览 期刊浏览 卷期浏览 Selection of Variables in Discriminant Analysis by F-statistic and Error Rate
Selection of Variables in Discriminant Analysis by F-statistic and Error Rate

 

作者: J.D. F. Habbema,   J. Hermans,  

 

期刊: Technometrics  （Taylor Available online 1977）
卷期: Volume 19, issue 4  

页码: 487-493

 

ISSN:0040-1706

 

年代: 1977

 

DOI:10.1080/00401706.1977.10489590

 

出版商: Taylor & Francis Group

 

关键词: Classification rate;Density estimation;Descriptive discriminant analysis;Predictive discriminant analysis;Stopping criterion;Selection of variables

 

数据来源: Taylor

 

摘要:

Five programs for selection of variables in discriminant analysis are compared: the program DISCRIM of McCabe [8]. the BMD07M program, see Dixon [1], the program ALLOC-I of Habhema, Hermana and van den Broek [3], and two more recent programs: SPSS and BMDP7M, see Nie e.a. [10] and Dixon [2]. Emphasis is on the criteria for selection and on the distributional assumptions involved. The programs are compared experimentally using two examples: one with real data, also used by McCabe [8], and one with simulated data.

 

点击下载:  PDF (652KB)



返 回