A SYSTEM ON CATEGORICAL-DATA ANALYSIS - SANI

被引:0
|
作者
ADAMOV, S [1 ]
机构
[1] RUSSIAN ACAD SCI,CEMI,MOSCOW 117418,RUSSIA
关键词
D O I
10.1007/BF02030869
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper describes some non-traditional data analysis methods implemented in the system on categorical data analysis ''SANI''. Exploratory techniques such as the determination analysis, revealing a block or quasi-block structure in a contingency table and longitudinal data classification are discussed. A modification of the quasisymmetry model and an algorithm for maximum likelihood estimation of its parameters are considered.
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页码:403 / 415
页数:13
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