Asymptotic Analysis of Mixed Effects Models
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A01=Jiming Jiang
advanced statistical theory
Asymptotic Null Distribution
Author_Jiming Jiang
Category=PBT
Category=PS
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Frailty Models
Functional Mixed Effects
Functional Mixed Effects Model
Gamma Frailty Model
Gee Estimator
graduate level mixed model research
hierarchical modeling
LMM
longitudinal data methods
Mixed Effects Models
Nonlinear Mixed Effects Models
Nonparametric Maximum Likelihood Estimator
Nonparametric Mixed Effects Models
Nonparametric MLE
random effects analysis
REML Estimation
REML Estimator
Residual Maximum Likelihood
Sieve Approximation
Sieve Space
Small Area Estimation
statistical inference
variance components
Product details
- ISBN 9781032096773
- Weight: 381g
- Dimensions: 152 x 229mm
- Publication Date: 30 Jun 2021
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized linear mixed models, non-linear mixed effects models, and non-parametric mixed effects models are complex models, yet, these models are extensively used in practice. This monograph provides a comprehensive account of asymptotic analysis of mixed effects models.
The monograph is suitable for researchers and graduate students who wish to learn about asymptotic tools and research problems in mixed effects models. It may also be used as a reference book for a graduate-level course on mixed effects models, or asymptotic analysis.
Jiming Jiang, University of California, Davis, USA
