separable generalized nonlinear models 可分的广义非线性模型
The generalized nonlinear models (GNLMs), i. e. exponential family nonlinear models are the natural generalization of ordinary nonlinear models.
广义非线性模型又称指数族非线性模型，它是普通正态非线性模型的推广。
We first develop the tests for varying dispersion in two special generalized nonlinear models of longitudinal data: (1) logistic nonlinear models in binomial data;
首先刻画了非线性随机效应模型的异方差类型，进而研究了非线性随机效应模型的异方差检验；
The proposed model-calibration estimators can handle any linear or nonlinear working models and reduce to the generalized regression estimators in the linear model case.
建议的模型校正估计可以处理任何线性或非线性的工作模型，且在线性模型的情形下变为广义回归估计。
应用推荐