非线性随机效应模型的贝叶斯方法。
A Bayesian approach to nonlinear random effects models.
作者信息
Racine-Poon A
出版信息
Biometrics. 1985 Dec;41(4):1015-23.
PMID:4096913
Abstract
Nonlinear random effects models are considered from the Bayesian point of view. The method of analysis follows closely that of Lindley and Smith (1972, Journal of the Royal Statistical Society, Series B 34, 1-42). The numerical method is related to the EM algorithm.
摘要
从贝叶斯的角度考虑非线性随机效应模型。分析方法与林德利和史密斯（1972年，《皇家统计学会杂志》，B辑34卷，1 - 42页）的方法密切相关。数值方法与期望最大化（EM）算法有关。
Zotero 插件