BIVARIATE PROBIT ANALYSIS - MINIMUM CHI-SQUARE METHODS

被引:33
作者
AMEMIYA, T [1 ]
机构
[1] STANFORD UNIV,DEPT ECON,STANFORD,CA 94305
关键词
D O I
10.2307/2286167
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
引用
收藏
页码:940 / 944
页数:5
相关论文
共 13 条
[1]   MULTI-VARIATE PROBIT ANALYSIS [J].
ASHFORD, JR ;
SOWDEN, RR .
BIOMETRICS, 1970, 26 (03) :535-&
[2]   MULTIVARIATE LOGIT ANALYSIS [J].
GRIZZLE, JE .
BIOMETRICS, 1971, 27 (04) :1057-&
[3]   ANALYSIS OF CATEGORICAL DATA BY LINEAR MODELS [J].
GRIZZLE, JE ;
STARMER, CF ;
KOCH, GG .
BIOMETRICS, 1969, 25 (03) :489-&
[4]  
GUMBEL EJ, 1961, J AM STAT ASSOC, V56, P335
[5]  
HoodWand Koopmans T, 1953, STUDIES ECONOMETRIC
[6]  
KELLEY TL, 1948, KELLEY STATISTICAL T
[7]  
Neyman J., 1949, P BERKELEY S MATH ST, P239
[8]  
RAO CR, 1965, LINEAR STATISTICAL I
[9]   DISTANCE FUNCTIONS AND REGULAR BEST ASYMPTOTICALLY NORMAL ESTIMATES [J].
TAYLOR, WF .
ANNALS OF MATHEMATICAL STATISTICS, 1953, 24 (01) :85-92
[10]  
*US DEP COMM NAT B, 1959, TABLES BIVARIATE NOR