Robust estimators and Wald-type tests are developed for the multinomial logistic regression based on $\phi$-divergence measures. The robustness of the proposed estimators and tests is proved through the study of their influence functions and it is also illustrated with two numerical examples and an extensive simulation study.
翻译:根据$\phe$-divegence 措施,为多级后勤回归开发了强力估计器和Wald型测试,拟议的估计器和测试的稳健性通过研究其影响功能得到证明,并用两个数字例子和广泛的模拟研究加以说明。