A simulated pseudo-maximum likelihood estimator for nonlinear mixed models-Reference-Cited by-同舟云学术

A simulated pseudo-maximum likelihood estimator for nonlinear mixed models

Published:2002-04 Issue:2 Volume:39 Page:187-201
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Concordet Didier,Nunez Olivier G.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference13 articles.

1. Consistency in nonlinear econometrics models: a generic uniform law of large numbers;Andrews;Econometrica,1987

2. Beal, S.L., Sheiner, L.B., 1992. NONMEM users guide. Nonlinear Mixed Effects Models for Repeated Measures Data. University of California, San Francisco.

3. An Introduction to Probability Theory and its Applications, Vol. 2.;Feller,1971

4. Simulation based inference in models with heterogeneity;Gourieroux;Ann. Econom. Statist.,1991

5. Consistent estimators in generalised linear mixed models;Jiang;J. Amer. Statist. Assoc.,1998

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Smoothed simulated pseudo-maximum likelihood estimation for nonlinear mixed effects models with censored responses;Statistical Methods in Medical Research;2023-06-16

2. Quasi- and pseudo-maximum likelihood estimators for discretely observed continuous-time Markov branching processes;Journal of Statistical Planning and Inference;2011-07

3. Statistical inference for stochastic simulation models - theory and application;Ecology Letters;2011-06-17

4. A new method for the estimation of variance matrix with prescribed zeros in nonlinear mixed effects models;Statistics and Computing;2008-06-20

5. Pseudo-likelihood estimation for discretely observed multitype Bellman–Harris branching processes;Journal of Statistical Planning and Inference;2007-04