Inference in nonorthogonal mixed models
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Publication:6139711
DOI10.1002/mma.6866zbMath1527.62020OpenAlexW3087024036MaRDI QIDQ6139711
Dário Ferreira, Célia Nunes, João Tiago Mexia, Sandra S. Ferreira
Publication date: 19 December 2023
Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/mma.6866
Parametric hypothesis testing (62F03) Point estimation (62F10) Analysis of variance and covariance (ANOVA) (62J10)
Cites Work
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- Improvement of the Liu estimator in linear regression model
- Linear and generalized linear mixed models and their applications.
- A stochastic restricted ridge regression estimator
- Restricted ridge estimation.
- The difficulties of estimation of dispersion parameters in linear models --- an illustration
- An overview of variance component estimation
- Mixed Models
- Estimation in Singular Linear Models with Stochastic Linear Restrictions and Linear Equality Restrictions
- A stochastic restrictedk–dclass estimator
- Analysis of Linear Models with Two Factors Having Both Fixed and Random Levels
- Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
- Mixed-Effects Models in S and S-PLUS
- Monte Carlo sampling methods using Markov chains and their applications
- Estimation of Variance and Covariance Components in Linear Models
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