MULTINOMIAL RESPONSE MODELS

被引：5
|
作者：
ZELEN, M
机构：
[1] HARVARD UNIV, SCH PUBL HLTH, BOSTON, MA 02115 USA
[2] HARVARD UNIV, SCH MED, DANA FARBER CANC INST, BOSTON, MA 02115 USA
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 1991年 / 12卷 / 02期
关键词：
D O I：
10.1016/0167-9473(91)90023-U
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Consider a multinomial response model with (k + 1) outcomes and p explanatory variables. The general logistic model for the multinomial probabilities results in a matrix of sufficient statistics having kp elements. The means and variances of the sufficient statistics are derived (under the null hypothesis) and can be written as a Kronecker product. Since the sufficient statistics have asymptotic normal distributions, large sample tests can be derived which uses a chi-square statistic. The conditional test for testing if a single explanatory variable affects the response is derived.
引用
收藏
页码：249 / 254
页数：6
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