Likelihood and conditional likelihood inference for generalized additive mixed models for clustered data

Daowen Zhang; Marie Davidian

doi:10.1016/j.jmva.2004.04.007

ScienceGate Book Chapters

JOURNAL ARTICLE

Likelihood and conditional likelihood inference for generalized additive mixed models for clustered data

Daowen Zhang Marie Davidian

Year: 2004 Journal: Journal of Multivariate Analysis Vol: 91 (1)Pages: 90-106 Publisher: Elsevier BV

DOI: 10.1016/j.jmva.2004.04.007

Get Full-Text PDF Get Analytical Report

Keywords:

Mathematics Random effects model Statistics Estimator Generalized linear mixed model Generalized estimating equation Restricted maximum likelihood Quasi-likelihood Mixed model Marginal likelihood Conditional probability distribution Econometrics Smoothing Covariate Inference Asymptotic distribution Estimating equations Applied mathematics Estimation theory Count data Maximum likelihood Computer science

Metrics

Cited By

0.89

FWCI (Field Weighted Citation Impact)

Refs

0.76

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Likelihood and conditional likelihood inference for generalized additive mixed models for clustered data

Metrics

Citation History

Topics

Related Documents

Inference for generalized additive mixed models via penalized marginal likelihood

Likelihood Inference for Spatial Generalized Linear Mixed Models

Restricted likelihood inference for generalized linear mixed models

Empirical likelihood inference for generalized additive partially linear models

Pairwise likelihood inference in spatial generalized linear mixed models