Convergence rate of MLE in generalized linear and nonlinear mixed-effects models: Theory and applications
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Publication:2370461
DOI10.1016/j.jspi.2005.06.010zbMath1118.62073OpenAlexW1973851351MaRDI QIDQ2370461
Publication date: 26 June 2007
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2005.06.010
Asymptotic properties of parametric estimators (62F12) Generalized linear models (logistic models) (62J12)
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Cites Work
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- Two Taylor-series approximation methods for nonlinear mixed models
- Conditional inference about generalized linear mixed models
- Generalized linear mixed models for strawberry inflorescence data
- A note on the use of Laplace's approximation for nonlinear mixed-effects models
- Standard Errors of Prediction in Generalized Linear Mixed Models
- The asymptotic properties of ML estimators when sampling from associated populations
- A Two-Step Iterative Algorithm For Estimation In Nonlinear Mixed-Effect Models With An Evaluation In Population Pharmacokinetics
- Consistent Estimators in Generalized Linear Mixed Models
- Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
- Maximum Likelihood Algorithms for Generalized Linear Mixed Models
- Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials
- Empirical Bayes Estimation of Random Effects Parameters in Mixed Effects Logistic Regression Models
- Mixed Effects Logistic Regression Models for Longitudinal Ordinal Functional Response Data with Multiple‐Cause Drop‐Out from the Longitudinal Study of Aging
- Approximate Inference in Generalized Linear Mixed Models
- Fully Exponential Laplace Approximations to Expectations and Variances of Nonpositive Functions
- A Random-Effects Ordinal Regression Model for Multilevel Analysis
- Robust Analysis of Generalized Linear Mixed Models
- Note on the Consistency of the Maximum Likelihood Estimate
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