本文基于截面经验似然的方法,在响应变量随机缺失时,将双重广义线性模型的拟似然估计方程作为截面经验似然比函数的约束条件,构造了均值模型和散度模型未知参数的置信区间.数据模拟中,在完全数据集,逆概率加权填补所得的数据集和未加权填补所得的数据集三种情形下,将经验似然方法与正态逼近方法相比较.结果表明在双重广义线性模型中,逆概率加权这一填补方法和经验似然方法是有效和可行的.
Based on profiled empirical likelihood method,the double generalized linear models' quasi-likelihood functions were considered as the constraints of the profile empirical likelihood ratio function with missing responses.The confidence intervals of unknown parameters in double generalized linear models were constructed.Simulation studies show that,in the double generalized linear models,the inverse probability weighted method and empirical likelihood method are more useful and effective than the unweighted method and normal approximation method respectively.