摘要
介绍一类具有AR(1)误差的非线性随机效应模型估计的EM算法,这种算法能一次性的估计出模型中的所有参数,并用随机模拟数据和实际例子说明了EM算法的有效性.
An EM algorithm is introduced which can estimate completely all the parameters in the nonlinear random effect model with AR (1) error. The effectiveness of the algorithm is illustrated by the simulation data and an example in preclinical medicine.
出处
《南通大学学报(自然科学版)》
CAS
2008年第2期82-84,94,共4页
Journal of Nantong University(Natural Science Edition)