Characterization of minimum aberration mixed factorials in terms of consulting designs

被引:15
作者
Ai, MY [1 ]
Zhang, RC
机构
[1] Peking Univ, Sch Math Sci, LMAM, Beijing 100871, Peoples R China
[2] Nankai Univ, Sch Math Sci, Tianjin 300071, Peoples R China
[3] LPMC, Tianjin 300071, Peoples R China
基金
中国国家自然科学基金;
关键词
coding theory; consulting design; minimum aberration; mixed factorial design; projective geometry; wordlength pattern;
D O I
10.1007/BF02762966
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
In this paper, by introducing a concept of consulting design and based on the connection between factorial design theory and coding theory, we obtain combinatorial identities that relate the wordlength pattern of a regular mixed factorial design to that of its consulting design. According to these identities, we furthermore establish the general and unified rules for identifying minimum aberration mixed factorial designs through their consulting designs. It is an improvement and generalization of the results in Mukerjee and Wu (2001).
引用
收藏
页码:157 / 171
页数:15
相关论文
共 14 条
[1]  
BOSE RC, 1960, B INT STATIST INST, V38, P257
[2]  
Chen HG, 1999, ANN STAT, V27, P1948
[3]  
Mac Williams F., 1977, THEORY ERROR CORRECT
[4]  
Mukerjee R, 2001, STAT SINICA, V11, P225
[5]  
Peterson W. W., 1972, ERROR CORRECTING COD
[6]  
ROMAN S, 1992, CODING INFORMATION T
[7]   A linear programming bound for orthogonal arrays with mixed levels [J].
Sloane, NJA ;
Stufken, J .
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 1996, 56 (02) :295-305
[8]  
Suen CY, 1997, ANN STAT, V25, P1176
[9]  
Tang B., 1996, ANN STAT, V25, P1176
[10]   MINIMUM ABERRATION DESIGNS WITH 2-LEVEL AND 4-LEVEL FACTORS [J].
WU, CFJ ;
ZHANG, RC .
BIOMETRIKA, 1993, 80 (01) :203-209